30results about How to "Strengthen supervision and management" patented technology

The invention relates to the technical field of staff performance assessment, and relates to a method for establishing a whole-staff performance assessment information system and an assessment information system. The method comprises the steps that first, the whole staff establish personal accumulated point accounts; second, different authorities are distributed to assessment objects; third, an accumulated point system management method and detailed rules for accumulated point implementation are established to serve as a system guarantee for accumulated system management; fourth, an accumulated point rewarding and deducting event base is established so as to standardize accumulated point rewarding and deducting; fifth, the accumulated point rewarding and deducting application and approvalworking process is standardized; and sixth, the accumulated points of the staff in each dimension are taken into the whole-staff performance assessment information system. According to the invention,quantitative assessment is performed on the behavioral and comprehensive quality performance of the staff in the form of point rewarding and deducting through accumulated point system management so asto arouse the enthusiasm of the staff in all directions; the top-down performance assessment system is established, thereby realizing progressive linkage assessment, and achieving in-place goal decomposition, in-place responsibility appointment and in-place assessment and stimulation; and hierarchical and classified management is adopted to enhance the pertinence and effectiveness of the assessment.

A video teaching system comprises display terminal, set - top box, infrared remote controller, radio frequency card and remote server. It features that display output interface of set - top box is connected to display terminal, downloaded information can be up - transmitted between set ¿C top box and remote server, radio frequency reader / writer is set in set ¿C top box .

The invention discloses an online non-public fundraising method. A fundraising system of non-public fundraising is built on the internet by building a network platform; accounts are distributed to entities and individuals which are registered in the fundraising system, the fundraising system accounts with different functions and rights are distributed for different types of the entities and individuals such as fundraising people, underwriters and investors, a fundraising system administrator seriously supervises and manages non-public fundraising performed by a fundraising party of a non-public fundraising project through the fundraising system by supervising, controlling and managing the functions and the rights of the accounts, and it is guaranteed that the fundraising party of the non-public fundraising project can only perform non-public fundraising to the qualified investors who are registered in the fundraising system through the fundraising system but not through a way of performing fundraising to the public or performing public publicizing and popularizing to the society; the fundraising system administrator assists relative supervision departments to supervise and manage non-public fundraising of the fundraising part by supervising and managing the fundraising result of non-public fundraising performed by the fundraising part through the fundraising system. The online non-public fundraising method is a method for the fundraising part of the non-public fundraising project to perform fundraising, and therefore the feasibility of performing non-public fundraising by the fundraising part of the non-public fundraising project through a network is achieved.

The invention discloses a campus safety management system based on AI face recognition. The system comprises a face recognition terminal. The face recognition terminal is electrically connected with the management center. The management center comprises a management service host and a database. The management service host comprises a data comparison module and a safety management module. The safety management terminal is in signal connection with the management center. The safety management terminal comprises a campus management terminal, a parent management terminal and a student management terminal and is used for receiving safety warning. According to the invention, the AI face recognition technology is used to obtain the face features of the school personnel. Outsiders can be discriminated in time. Foreign personnel are prevented from entering the campus at will. The safety of teachers and students in the school is guaranteed. Absent students can be found in time through curriculumschedule data, teachers, students and parents can master the states of students in the school in time and master the behaviors of students in the school in time. The supervision and management of teachers and parents on students are improved. The safety of students in the school is guaranteed.

The invention discloses an intelligent Internet of Things elevator supervision platform system. The intelligent Internet of Things elevator supervision platform system comprises a monitoring terminal,a transmission module and a cloud service platform; the monitoring terminal is provided with a thermal imaging module and a human body temperature monitoring module, and the monitoring terminal is incommunication connection with the cloud service platform; the cloud service platform comprises a client Web request response module, a monitoring terminal sensor data receiving module, a bidirectional audio and video dialogue request processing module, a statistical module, a calculation module, a visualization module and a storage module; the statistical module is used for counting brands, elevator ages, place distribution, fault types and annual increase of the number of elevators, the calculation module is used for calculating a fault ratio, and the visualization module is used for presenting a statistical result of the statistical module, a calculation result of the calculation module and the like. According to the intelligent Internet of Things elevator supervision platform system, elevator supervision and management, risk monitoring and early warning are enhanced, safety and high efficiency are achieved, elevator safety digital supervision is further improved, the elevator safety operation level is improved, and the elevator taking safety of the masses is effectively guaranteed.

The embodiment of the invention discloses an ecological environment monitoring quality management system, which strengthens supervision and management of a regional ecological environment monitoring mechanism through a laboratory information management core platform, an environment monitoring standard service platform and a data quality supervision platform, and takes an informatization platform as a support. The whole-process quality management of ecological monitoring mechanisms, personnel and monitoring activities is enhanced, ecological environment monitoring service behaviors are standardized, and effective quality control of monitoring data is realized.

The present invention proposes a two-way pre-tensioned prestressed concrete track slab manufacturing information management system, including: plan progress management module, manufacturing process management module, track slab traceability module, data interface module; said plan progress management module follows track slab Specifications plus track slab type for classification plan management; the manufacturing process management module is used to standardize the entire process of track slab manufacturing; the track slab traceability module is used to provide information on the manufacturing process of track slabs through RFID tags Traceability; the data interface module is used to manage the data interface for communication with the manufacturing equipment of bidirectional pretensioned prestressed concrete track slabs. The present invention promotes the optimization of business processes, the communication and coordination of each level, each department, and each link, the integration of internal and external information, the consistency, filing, query and traceability of data, and improves the work efficiency of each link.

The invention discloses a method of raising a colloidal tin ore dressing recovery percentage. The method specifically comprises the following steps: 1) tinstone and colloidal tinstone are subjected to ore grinding treatment separately and then are mixed according to a certain proportion, mixed powder is screened after the mixing, then screened powder is soaked in mixed acid of hydrochloric acid and hydrofluoric acid for impurity removal, and after the impurity removal is completed, the mixed powder is washed and dried; 2) the mixed powder is subjected to magnetic separation; 3) the mixed powder after the magnetic separation enters a hanging trough type flotator for floatation, during which a NaOH solution or a HCl solution is used to adjust PH of floatation ore pulp to be 3-5, and a collecting agent is added to the floatation ore pulp for preventing colloidal tin from losing; and 4) the mixed powder after the floatation enters a shaking table for gravity separation, and tin concentrate is obtained after the gravity separation. Under the condition that no ore dressing flow is changed, the problem that the colloidal tin ore dressing recovery percentage is low is solved effectively, the economic benefits of an enterprise are improved substantially, and the three rates of ore dressing are raised remarkably.

The invention discloses an online non-public fundraising method. A fundraising system of non-public fundraising is built on the internet by building a network platform; accounts are distributed to entities and individuals which are registered in the fundraising system, the fundraising system accounts with different functions and rights are distributed for different types of the entities and individuals such as fundraising people, underwriters and investors, a fundraising system administrator seriously supervises and manages non-public fundraising performed by a fundraising party of a non-public fundraising project through the fundraising system by supervising, controlling and managing the functions and the rights of the accounts, and it is guaranteed that the fundraising party of the non-public fundraising project can only perform non-public fundraising to the qualified investors who are registered in the fundraising system through the fundraising system but not through a way of performing fundraising to the public or performing public publicizing and popularizing to the society; the fundraising system administrator assists relative supervision departments to supervise and manage non-public fundraising of the fundraising part by supervising and managing the fundraising result of non-public fundraising performed by the fundraising part through the fundraising system. The online non-public fundraising method is a method for the fundraising part of the non-public fundraising project to perform fundraising, and therefore the feasibility of performing non-public fundraising by the fundraising part of the non-public fundraising project through a network is achieved.

The invention discloses a method for predicting the sales volume of oil products based on a time regression sequence, and belongs to the technical field of data processing. A time sequence algorithm in a data mining algorithm is applied to the oil product sales industry, and a gas station sales volume prediction model is established based on gas station historical sales data on a data management cloud platform; through short-term prediction of the sales volume of the gas station, the periodic change of the sales volume of product oil is mastered for the gas station, the price advantage is mastered, and reasonable promotion activities and means are prompted in time, and finally precise marketing is realized. The sales trend of the product oil is mastered, which is beneficial for promoting faster interaction between gas station operation and suppliers, so that the management speed of the product oil is accelerated; the method is beneficial for the tax department to grasp the dynamic state of the product oil market in advance, further strengthens the supervision and management of the industry, and provides decision support and technical support for specifying laws and adjustments related to the operation order of the product oil market.

The invention belongs to the field of video processing and pattern recognition, and in particular relates to a video-based automatic detection method for railway wagon spills, which is based on background modeling-based moving target detection and neural network-based target recognition algorithms. Its background modeling-based moving target detection and neural network-based target recognition algorithm include the following steps: Step 1. Acquire video; Step 2. Establish the histogram gradient feature model of the train running part; Step 3. Use background modeling technology to extract Suspected spills; Step 4. Recognition of suspected spills based on neural network (ANN). The invention realizes the automatic detection and recognition of the spilled objects of the truck under the state of the train running at high speed, has high detection accuracy and low misclassification rate, and the fast detection speed also satisfies the actual engineering needs.

The invention discloses a method of raising a colloidal tin ore dressing recovery percentage. The method specifically comprises the following steps: 1) tinstone and colloidal tinstone are subjected to ore grinding treatment separately and then are mixed according to a certain proportion, mixed powder is screened after the mixing, then screened powder is soaked in mixed acid of hydrochloric acid and hydrofluoric acid for impurity removal, and after the impurity removal is completed, the mixed powder is washed and dried; 2) the mixed powder is subjected to magnetic separation; 3) the mixed powder after the magnetic separation enters a hanging trough type flotator for floatation, during which a NaOH solution or a HCl solution is used to adjust PH of floatation ore pulp to be 3-5, and a collecting agent is added to the floatation ore pulp for preventing colloidal tin from losing; and 4) the mixed powder after the floatation enters a shaking table for gravity separation, and tin concentrate is obtained after the gravity separation. Under the condition that no ore dressing flow is changed, the problem that the colloidal tin ore dressing recovery percentage is low is solved effectively, the economic benefits of an enterprise are improved substantially, and the three rates of ore dressing are raised remarkably.

The invention discloses a multi-authentication intelligent switch cabinet monitoring system, which is divided into a field control layer, a monitoring layer and a management layer, wherein the field control layer combines multi-authentication of IC identification, fingerprint identification, voice identification and face identification, so that intelligent control on a switch cabinet is achieved; and the use safety of the switch cabinet can be effectively improved. The monitoring layer designs upper computer monitoring software through Labview, and has good human-computer interaction ability and a friendly user interface; and the management layer comprises a cloud data platform and a smart city platform, so that supervision departments can well know the service condition of the switch cabinet through a network; and supervision management on special equipment and equipment with a relatively great danger is strengthened.