85results about How to "Reduce work content" patented technology

The invention relates to a method for collecting, charging and discharging garbage and support equipment therefor, belonging to urban garbage treatment technology. In the invention, one-off treatment of the garbage is enough in the process of collecting and transporting urban garbage, garbage transfer stations or collection stations can be omitted, multiple garbage charging and discharging procedures can be omitted, the work of transporting garbage at different parts of the cities to the transfer stations or collection stations can be omitted, garbage collection and transportation procedures can be simplified, secondary pollution of the garbage can be avoided, environmental sanitation can be improved and sanitation ranking of the cities can be elevated. The support equipment for realizing the method comprises a dustpan bag, a self-discharging barrel, a crane trolley, a jib crane arranged at the top of the coach and an autodumper of a horizontal type compactor.

The invention discloses a full-automatic box folding machine of a semi-packed box of a heat collector. The full-automatic box folding machine comprises a rack and a feed receiving plate, wherein a box folding mechanism is arranged at the bottom of the rack, gluing mechanisms are respectively installed on both sides of the box folding mechanism, a positioning mechanism is arranged below the box folding mechanism, a grabbing movement mechanism is arranged on the rack, and the feed receiving plate is close to the box folding mechanism. When the full-automatic box folding machine is started, a paper box board can be carried and placed on the feed receiving plate by the grabbing movement mechanism, the paper box board is pushed into the box folding mechanism under the action of the positioning mechanism, the paper box board can be folded by the box folding mechanism and are glued by the gluing mechanisms, and automatic box folding is completed under the action of the box folding mechanism. Only the whole pack of box boards are manually put on a tray, after the full-automatic box folding machine is started, the whole process of feeding, gluing, folding and discharging a single box board can be automatically completed, automatic continuous production can be realized, and manual intervention is not needed until the whole pack of box boards are completed. The capacity and the working efficiency are improved, and the quality stability is guaranteed, thereby effectively increasing production profits.

The invention belongs to the control field of power grid robots, in particular to a method for identifying obstacles of a power grid robot. The method can obtain the data of the obstacles during the movement of the power grid robot along the transmission line for analysis and judgment by the analysis system, so as to ensure that the robot can react quickly to obstacles, improve the work efficiencyof power grid robot, the region segmentation, gray scale and edge detection of the acquired image is done successively, by region segmentation, the image volume is effectively compressed, significantly reducing the amount of data that needs to be analyzed and processed, most of the unnecessary data in the image is eliminated. The unnecessary data refers to the data in the image that will not hinder the movement of the equipment. However, this part of data is necessary for other work contents such as motion monitoring, on-line shooting and the like. Through the segmentation program, the numberof the equipment needed by the robot system can be effectively compressed and the work contents can be reduced.

The invention discloses a tractor loading running-in test stand comprising a pedestal platform and a test platform; four lifting guide pillars are arranged on four corners of the test platform; the power output end of the lifting guide pillar is fixed on four corners of the surface of the pedestal platform; the lifting guide pillars drive the test platform to move up and down. An elevator, a translation driving mechanism and a deceleration motor can realize moving detection of a tractor power output shaft in up, down, left and right directions, can realize rotary detection of the output shaftin the same time, and are connected with a resistor cabinet assembly and an operation cabinet, thus automatically controlling test devices; the resistor cabinet assembly can convert the test data intospecific accurate numbers, and a computer can form a report, thus greatly reducing user work contents, and improving the testing efficiency.

The invention discloses an electric power operation risk assessment method suitable for variable weight fuzzy comprehensive assessment. The method comprises the steps of obtaining an electric power operation risk assessment index capable of measuring an electric power operation risk degree; layering the power operation risk assessment indexes by using an analytic hierarchy process, and determiningweight initial values of the power operation risk assessment indexes between the layers relative to the power operation risk assessment indexes of the previous layer; obtaining score values of the electric power operation risk assessment indexes before each electric power operation, and redistributing the weight initial values according to the score values to obtain redistributed weight values; determining an evaluation set and a membership calculation function of the evaluation object; enabling the membership calculation function to perform multi-level fuzzy comprehensive evaluation on the evaluation set to obtain a fuzzy comprehensive evaluation result; and determining the corresponding power operation risk assessment level from the vector of the fuzzy comprehensive assessment result according to the principle of redistributing the weight and the membership degree maximum. According to the embodiment of the invention, risk levels can be objectively assessed in multiple aspects for operation risks.

The invention discloses a5G-based intelligent security system, which comprises an AI cloud platform, an active monitoring module, a passive monitoring module, a 5G wireless communication module, an intelligent wearing module, a track monitoring module, a comprehensive control module, a data storage module, a plurality of inspection unmanned aerial vehicles and a plurality of high-definition cameras. According to the 5G-based intelligent security system, the 5G wireless communication module is arranged, so that the data transmission speed is ensured, and the processing capability of the systemis improved; the passive monitoring module is arranged to acquire a high-definition video of a target region for a passive monitoring signal, so that the working content of the system is effectively reduced, and the working efficiency of the system is improved; and the active monitoring module is arranged for monitoring the target region in real time according to an active monitoring scheme, and the target region is monitored through adopting the preset monitoring scheme, so that the overall safety of a city is improved.

The invention discloses a warehouse management system. The invention relates to warehouse management. The technical scheme mainly comprises: matching time attribute, temperature attribute, space attribute, humidity attribute and time attribute of each batch of goods entering the warehouse, including factory leaving time, warehousing time, shelf life limit and latest warehousing date, wherein spatial attribute includes the remaining space used by the warehouse to store the goods of the same category; temperature Attribute Includes temperature range of goods and real-time temperature of warehouse; Humidity Attribute Includes the range of humidity suitable for goods and the real-time humidity of warehouse; when the time exceeds the latest warehouse-out time, or the warehouse temperature is out of the range of suitable temperature of the goods, or the warehouse humidity exceeds the range of suitable humidity of the goods, the corresponding alarm prompt being generated. The invention has the advantage that the safety of the goods can be ensured.

The invention discloses a dust remover for textile workshop air and with an automatic cleaning function. The dust remover comprises a dust remover body, wherein a water cavity with an upward opening is formed in the upper end face of the dust remover body; a dust scraping device is arranged in the water cavity and comprises a fixed block fixedly arranged between the left wall and the right wall ofthe water cavity; a sliding block cavity is formed in the fixed block; a sliding block capable of sliding left and right is arranged in the sliding block cavity; a dust sucking device is arranged onthe dust remover body; and a cleaning device is arranged on the left side of the water cavity. The dust remover of the invention can rapidly and effectively purify air in a textile workshop; dust andother substances harmful to the health of workers in the air are filtered out with water and temporarily stored; the dust remover has the automatic cleaning function and is easy to clean; impurities sucked into the dust remover can be basically removed without disassembling the dust remover, so labor is saved, unnecessary work contents are reduced, and then work efficiency is improved.

The invention relates to a crushing device, in particular to an automatic crushing device for aggregate production. The technical aim to be achieved is to provide the automatic crushing device for aggregate production, and the device can automatically crush aggregates with overlarge diameters and can conveniently collect crushed aggregates. The automatic crushing device for aggregate production comprises a rack, a lifting assembly and a crushing assembly. The lifting assembly is mounted on the rack and is powered by a motor; and the crushing assembly is mounted on the lifting assembly and usedfor performing crushing in a lifting manner. Automatic crushing of the aggregates is completed through the lifting assembly and the crushing assembly, the work content of workers is reduced, the worktime is saved, compared with manual aggregate crushing, the crushing device is safer, meanwhile, a placement plate is controlled to incline, the aggregates can be gathered towards one side and can bemore conveniently collected, and through an adjusting assembly, the maximum diameter of the crushed aggregate can be accurately adjusted, so that the aggregate crushing work can be accurately completed under different conditions.

The invention discloses automobile engine filter element replacing equipment which comprises a machine shell, a working cavity is formed in the lower left side of the machine shell, a dismounting mechanism is arranged in the working cavity, a replacing mechanism is arranged in the working cavity, a lifting cavity with a downward opening is formed in the upper inner portion of the working cavity, and a lifting mechanism is arranged in the lifting cavity; and a transmission cavity with a leftward opening is formed in the inner right wall of the lifting cavity, and a transmission mechanism is arranged in the transmission cavity. The automobile engine filter element replacing equipment is simple in structure and convenient to operate, when the automobile engine filter element replacing equipment is used, a cover on the upper side of an engine filter element can be automatically unscrewed and opened, and then the engine filter element can be automatically replaced; and compared with a traditional mode of manually replacing the filter element, the working efficiency can be effectively improved, the cost is saved, the working content of workers is reduced, and the replacement work becomes more efficient.

The invention discloses a chest radiography image anomaly detection method and system based on deep learning. The method comprises the following steps: constructing a basic identification algorithm; obtaining a chest radiography image, learning the chest radiography image according to a basic identification algorithm, and generating a classification model; classifying the chest radiography imagesto be detected according to the classification model to obtain abnormal chest radiography images and normal chest radiography images; and labeling the abnormal chest radiography image to finish detection. A basic identification algorithm is constructed to carry out deep learning on a chest radiography image; therefore, the classification model is generated, the chest radiography images to be detected can be directly classified to obtain normal chest radiography images and abnormal chest radiography images, then the abnormal chest radiography images are sent to doctors, and the normal chest radiography images are not sent to the doctors, so that the working content of the doctors is reduced, and the working efficiency of the doctors is improved; in addition, by labeling the abnormal chest radiography image, a doctor can visually observe the abnormal position and reason of the chest radiography image.

The invention discloses an editing method of a retinal vessel edge line. The method includes the steps of obtaining a vessel central line, drawing a plurality of tube diameter lines on the vessel central line at equal intervals, obtaining a first end point and a second end point input by a user on the vessel edge line, judging whether a continuous line exists between the first end point and the second end point or not, obtaining a judgment result, generating the correspondence between the first end point and the second end point on the basis of the judgment result, obtaining a first control point input by the user, adjusting the correspondence on the basis of the first control point to obtain the adjusted correspondence, and editing the adjusted correspondence on the basis of the tube diameter lines to generate the edited vessel edge line. The invention further discloses an editing device of the retinal vessel edge line. By reediting the vessel edge line, the accuracy of a retinal vessel image is improved; meanwhile operation is simple, operation steps are few, working content is reduced, and work efficiency is improved.

The invention discloses an intelligent-controlled offshore unmanned aerial vehicle folding taking-off and landing platform which comprises a taking-off and landing platform body, wherein a positioningmark is arranged in the middle of the taking-off and landing platform body; an inner layer positioning ring is arranged on the outer side of the positioning mark; a navigation lamp is fixedly connected to the outer side of the inner layer positioning ring; an outer layer positioning ring is arranged on the outer side of the navigation lamp; a flow guiding groove is formed in the outer side of theouter layer positioning ring; and four hinges are fixedly connected to the outer side of the taking-off and landing platform body. According to the an intelligent-controlled offshore unmanned aerialvehicle folding taking-off and landing platform, a platform can be provided for unmanned aerial vehicles to land through the take-off and landing platform body, certain buoyancy is achieved meanwhile,and the stability of the device is increased; positioning can be provided for landing of the unmanned aerial vehicles through the positioning mark, the inner positioning ring and the outer positioning ring, so that the unmanned aerial vehicles can conveniently land at predetermined positions; meanwhile, the inner positioning ring and the outer positioning ring can be suitable for unmanned aerialvehicles with different sizes; and the applicability and practicability of the device are increased.

The invention discloses a talent evaluation system based on a big data algorithm, and the system comprises a data sharing platform, a data input unit, an evaluation unit, a monitoring unit, and a screening unit. The data sharing platform is connected with the data input unit, the data sharing platform is connected with the evaluation unit, the data sharing platform is connected with the monitoringunit, and the data sharing platform is connected with the screening unit; the data input unit is connected with the evaluation unit, and the data input unit is connected with the screening unit; theevaluation unit is connected with the monitoring unit; the system is based on an evaluation unit and a data sharing platform. According to the system, sufficient evaluation and data mining can be carried out on the ability of the applicant, so that the evaluation setting direction is consistent with the enterprise recruitment direction, the applicant can discloses the quality, professional ability, communication ability, cooperation ability, demand salary and the like of the applicant through the system, and the talent selection efficiency of the enterprise is improved.

The invention discloses an automatic generation method and device of cable production information and a storage medium. The method comprises the following steps: acquiring parameter information of a cable in an electrical schematic diagram; generating retrieval information according to the parameter information; according to the retrieval information, cable information corresponding to the cable is matched in a cable database; and matching the cable drawing information in the drawing database to generate bill of material information. According to the method, cable drawings and bill of material information are rapidly generated, the exported cable drawings and bill of material information are used for guiding production of cables, the work content of statistics and measurement one by one is saved, batch processing is directly carried out, wiring work is rapidly completed according to a table, and the proficiency requirement of each related worker is reduced; and standardized development is promoted, previous work is accumulated, and the subsequent production quality is continuously improved.

The invention relates to the technical field of automobile part machining, and particularly discloses automobile part machining and polishing equipment. Comprising guide rails which are symmetrically arranged, clamping mechanisms which are respectively connected with the guide rails in a sliding manner and are used for clamping automobile parts, a driving mechanism which can drive the clamping mechanisms to slide, and a polishing mechanism which is fixedly connected with the guide rails and is used for polishing the automobile parts, the driving mechanism comprises a first power piece, a first lead screw rotationally connected to the side wall of the guide rail and a transmission piece arranged between the first power piece and the first lead screw, the clamping mechanism comprises a sliding base, a bearing plate fixedly connected to the side wall of the sliding base and a pressing plate rotationally connected to the side wall of the sliding base, and a rack is arranged on the side wall of the guide rail; the bearing plate is rotationally connected with a gear meshed with the rack, a screw driven by the gear to rotate is rotationally connected between the bearing plate and the pressing plate, the screw is in threaded connection with a lifting rod, the top end of the lifting rod is slidably connected into the pressing plate, and the problem that in the traditional polishing process, work of technicians is tedious is solved.

The invention discloses an asphalt laying process for auxiliary shielding of a paver. The paver is included, a first moving groove with a downward opening is formed in the paver, first fixing blocks which are symmetrical in the front-back direction are fixedly arranged on the top wall of the first moving groove, a first electronic sliding rail is installed between the front first fixing block and the rear first fixing block. A mounting box is fixedly arranged on the first electronic sliding rail, and a storage groove penetrating front and back is formed in the mounting box. Whether the inspection well cover exists on the path when the paver paves asphalt is detected in real time through the detection probe, when the inspection well cover is found, the shielding disc is controlled to fall down from the paver and is fixed to the inspection well cover, the inspection well cover can be shielded through the shielding disc, the situation that asphalt is laid on the inspection well cover to seal a sewer opening is avoided, and the construction personnel do not need to manually remove the asphalt laid on the inspection well cover, so that the working content of the construction personnel is reduced.

The invention discloses an outdoor garbage classification-oriented positioning control method for a garbage sorting robot. The method comprises the steps of: 1, acquiring a position coordinate A of a garbage stacking area, and specifically placing the position of the garbage stacking area on an x axis, a y axis and a z axis; 2, acquiring the position coordinate A of the garbage stacking area by the sorting robot, and determining a real-time position coordinate C of the sorting robot through a server; and 3, acquiring coordinates B of garbage individuals in the garbage stacking area, shooting the position of the garbage stacking area through a plurality of cameras, and carrying out distance measurement through a radar. According to the method, the sorting robot is effectively operated and controlled, the coordinates of the garbage stacking area and the garbage individuals are obtained through the server, the coordinates of the sorting robot are obtained, then the optimal route of the sorting robot is simulated in the server, multiple routes are firstly simulated in the server, then the optimal route is judged, and the garbage is clamped and then moved to an area where the garbage is sorted.

The invention discloses a classroom analysis system and method based on a face recognition technology, and the system comprises an image collection unit which collects an image for classroom analysis through a camera device disposed in a classroom; an image preprocessing unit which is used for preprocessing the image; a face detection positioning unit which is used for segmenting a skin color area in the image by adopting a Gaussian skin color model and accurately detecting a face in the segmented skin color area by utilizing a trained cascaded structure face classifier; an attendance checking unit which is used for comparing a face recognition result with the face features of the students in the background server according to the face recognition result when the attendance checking request is received, recognizing absent students and feeding back the absent students; and a class state monitoring unit which is used for monitoring the class state of each student according to the face recognition result when receiving the monitoring request, giving a corresponding prompt to the student when judging that the student is in a negative state according to the face recognition result, and obtaining corresponding student information from the background server for feedback.

The invention discloses a gamified management system for enterprises. The system comprises an enterprise management module, an application module, a KPI module, a data acquisition module, a data querymodule and a statement display module, wherein the enterprise management module comprises an organization unit, a personnel information unit, a log setting unit, a credit system evaluation unit and atask management unit; the application module comprises a login unit, a home page display unit, a log unit, a colleague information display unit, a task unit and a personal information unit; the KPI module comprises a KPI empirical value obtaining unit, a post division unit and a reward content unit; the data acquisition module comprises an acquisition information establishing unit, an acquisitionitem setting unit, a calculation formula setting unit and a data capture and summarization unit; the data query module comprises an index query unit and a content query unit; and the statement display module comprises a parameter configuration unit and a visual statement forming unit.