48results about How to "Statistics are accurate" patented technology

The invention discloses a website access statistical method and a website access statistical system. The website access statistical method comprises the following steps of: receiving information request strings transmitted by a client browser, wherein the information request strings are page parameters collected by the client browser when a user accesses to the page and the page parameters at least comprise a unified uniform resource locator (UPL) address for accessing to the webpage by the user; acquiring an URL address of each received information request string and saving the URL address under a catalogue corresponding to secondary domain name information of the URL address according to the secondary domain name information of the URL address; and carrying out the website access statistics according to the URL addresses saved under the catalogues corresponding to different secondary domain name information. According to the technical scheme provided by the invention, the classified statistics is carried out on the basis of a secondary domain name, so that the user can obtain more accurate statistical data.

The invention discloses an intelligent management method for a numerical control machine tool. The intelligent management method for the numerical control machine tool comprises machine tool operation authority management and machine tool real-time status monitoring. Used equipment comprises a control computer, a Siemens PLC (Programmable Logic Controller), buttons, an IC (Integrated Circuit) card reader, identity cards, numerical control machine tools with a barcode respectively, a barcode scanning gun and a numerical control machine tool controller, wherein the IC card reader and the barcode scanning gun communicate with the control computer through a USB (Universal Serial Bus), the control computer communicates with the Siemens PLC through an Ethernet based on an OPC (OLE for Process Control) method, and the Siemens PLC communicates with the numerical control machine tool controller through a Profibus DP (Decentralized Periphery). Through operation authority management, only authorized personnel can operate the machine tool and the intelligent management method is suitable for school teaching factories with large flow of people. Through the intelligent management method, by using a computer for recording the status data of the machine tools during operation, the statistical data is accurate and a reference is provided for fault diagnosis. The intelligent management method for the numerical control machine tool has the characteristics of high practicability, easiness in popularization and the like.

The invention discloses a method for processing file data. The method comprises the following steps: S1, establishing corresponding nodes including an exclusive identification for data in a database, establishing a path of each node according to owner-member relationship and storing the path; S2, receiving an external data operation instruction, wherein an instruction comprises adding, modifying, deleting and inquiring operation; and S3, analyzing an operation instruction, judging a type of the operation instruction; and executing corresponding path management to the nodes corresponding to selected data according to an instruction type. According to a technical proposal, data can be subordinate to multiple classifications; multi-path association, catalogue showing and control of data storage can be realized; furthermore, synchronous management of stored data display in different showing interfaces is realized and comprises operation such as synchronous content adding, modifying, deleting, inquiring and the like; a storage space is saved; multiple original same stored data need to occupy multiple storage spaces; and at present, single stored data and multiple multiplexing show can be realized.

The invention provides a vehicle mileage data statistical method, which comprises the steps of: receiving and analyzing vehicle data information uploaded by a vehicle-mounted terminal; acquiring a mileage record cumulative value, and replacing an original mileage record cumulative value in a first database with a vehicle mileage value when the original mileage record cumulative value is less thanthe vehicle mileage value; acquiring a mileage record cumulative value in the first database at a preset daily recording time point, and associating the mileage record cumulative values, mileage record dates and vehicle identification information; and regarding a difference value between a vehicle next-day mileage record cumulative value and a vehicle previous-day mileage record cumulative value as a mileage value run by a vehicle the day before based on daily cumulative mileage record data in a second database, and forming a piece of vehicle daily mileage statistical data. The invention further provides a vehicle mileage data statistical device. The vehicle mileage data statistical method and the vehicle mileage data statistical device can process the vehicle mileage data, and precisely count the vehicle daily mileage and monthly mileage data.

The invention is in use for charging terminal user in 'one button through' service based on cellular network. The method includes steps: (1) speak user sends speech stream, POC server forwards speech stream and carries out statistics for flow rate; (2) when releasing right to speak, speak user sends SR message; after receiving the SR message, POC server creates charging information of the speak user based on SR message, and transferring the charging information to charging server; using charging information, the charging server charges the speak user; (3) listener sends RR message; after receiving the RR message, POC server creates charging information of the listener based on RR message and obtained statistics information of flow rate, and transferring the charging information to charging server; using charging information, the charging server charges the listener; the invention charges POC speech stream in real time, precisely and relative reliably.

The invention discloses an ERP sales management system, which includes a cloud server and a sales module. The cloud server is provided with a data processing module wirelessly connected to the sales module. The sales module is provided with a sales planning unit, a sales price unit, a sales order unit, a sales dispatch Cargo unit, salesperson information unit and sales training unit, the sales order unit formulates various order templates, and according to the customer's order after analysis, sorting, merging, and adjustment of the corresponding order template, tailor-made to meet the actual needs of customers order, generate the corresponding order file, and the sales delivery unit is used to notify the delivery of the order confirmed by the customer, track the goods out of the warehouse and track the logistics information, and monitor the customer's receipt of the goods and pass the order and delivery notification through The data processing module sends it to the financial department responsible for collection. This system combines sales links organically, with smooth information and timely and accurate statistical information.

The invention provides a method and system for judging the network quality. The method includes the steps of judging whether statistic is carried out on S-TMSIs carried in RRC connection request information made by UE or not; if the statistics is not carried out on the S-TMSIs carried in the RRC connection request information made by the UE, updating the statistic value of the number of times of RRC connection requests on the network side, and updating the statistic value of the number of times of successful RRC building on the network side, the statistic value of the number of times of failed RRC building on the network side or the statistic value of the number of times of overtime RRC building on the network side according to the access result of the UE; if the statistics is carried out on the S-TMSIs carried in the RRC connection request information made by the UE, maintaining the statistic value, of the number of the times of the RRC connection requests, recorded on the network side, and updating the statistic value of the number of the times of successful RRC building on the network side or maintaining the statistic value of the number of the times of failed RRC building or the statistic value of the number of the times of overtime RRC building according to the access result of the UE; obtaining key performance indicator parameters according to the statistic value of the number of the times of successful RRC building on the network side, the statistic value of the number of the times of failed RRC building on the network side, the statistic value of the number of the times of overtime RRC building on the network side and the statistic value of the number of the times of the RRC connection requests; judging the network quality according to the key performance indicator parameters.

The invention discloses a distributed denial of service DDoS attack detection method and equipment. The method comprises the following steps: acquiring a data stream sent to protection object equipment in each detection period and acquiring total duration of various data streams; dividing various data streams into long data streams or short data streams according to the total duration of various data streams; according to the passed detection period of the long data streams, numbering the total data traffic of the long data streams into the statistical traffic of various passed detection periods of the long data streams; stacking the data traffic of the short data streams occurring in various detection periods and the data traffic of the long data streams numbered into the corresponding detection period so as to determine the statistical traffic in each detection period; and determining a fact that the protection object equipment is under the DDoS attack in the detection period if thestatistical traffic exceeds the detection period of the preset traffic threshold. By adopting the detection method disclosed by the invention, the DDoS attack detection precision is improved, and a false alarm rate of the DDoS attack detection is reduced.

The invention provides a population subdivision method based on signaling data on the premise of difference compensation, and the method comprises the steps: carrying out the division of user types according to the space-time information of mobile users, and carrying out the difference compensation of mobile data in a space dimension and a time dimension before division; according to the method, the actual population of the city is divided into resident population and non-resident population according to the residence duration, the movement range, the movement rule and other space-time information of the user in the city; resident population is further divided into stable resident population and instable resident population, the stable resident population is further subdivided into job-living integrated population, regular commuting population and college students, and the instable resident population is subdivided into daytime instable resident population and night instable resident population; and the non-resident population is further divided into tourists, business trip users, visiting users and other users. The method is used for urban population statistics work, real-time andaccurate population data can be provided, and timely and effective decision basis is provided for management departments.

The invention provides a shared bicycle illegal parking rate determination method and system. The method comprises the steps that electronic tag data transmitted by card readers is received, and the frequency of receiving identical electronic tag data is subjected to statistical analysis; the identical electronic tag data, with the receiving frequency greater than a predetermined frequency threshold, is marked as normative parking data, electronic tag data of all operator information in an electronic tag storage base is acquired to form electronic tag data total sets, and normative parking data sets are acquired; the electronic tag data in real-time order data sets and the normative parking data sets are removed from the electronic tag data total sets, and illegal parking bicycle data setsare obtained; and data volumes in the illegal parking bicycle data sets are divided by data volumes in the electronic tag data total sets to obtain bicycle illegal parking rates. The determination method and system have the advantages that illegal parking information of shared bicycles can be subjected to statistical analysis quickly and accurately, and the problem that statistical analysis of the illegal parking information of the shared bicycles is difficult in the prior art is solved.

A wind driven generator operation state identification method is characterized in that a three-position mechanical active switch is disposed at each of a bin gate and a tower footing gate of a wind driven generator to serve as a control point for a master controller identifying wind driven generator operation state, physical hard wiring is used to obtain a position level signal of each switch, the level signals at three positions respectively represent an automatic state, a maintenance state and a repair state. When the wind driven generator operates normally, each switch is at the automatic state position, the digital value is '0'; when maintenance staff wants to enter a bin or a tower footing gate, each switch is switched to the maintenance state to serve as a digital value input point of the master controller; when maintenance staff wants to enter a bin or a tower footing gate, each switch is switched to the repair state to serve as a digital value input point of the master controller; the signal values are used to compile program codes of master controller software wind driven generator operation state identification module. By the method, wind driven generator operation state can be identified reliably and accurately, and availability of the wind driven generator can be calculated.

The invention provides a storage object management for a cold storage plant, and the cold storage plant. The system comprises a training module based on a convolution neural network, wherein the training module is used for learning and detecting target storage objects; a recognition module based on a convolution neural network, wherein the recognition module is used for recognizing whether there are the target storage objects or not and the types of the target storage objects; a detection module based on a convolution neural network, wherein the detection module is used for the capturing detection of whether there are the target storage objects and whether the target storage objects are stored in the cold storage plant or are taken out of the cold storage plant. The system can build the convolution neural network through the training, verification and testing steps, so as to achieve the automatic learning, interaction, recognition and counting of the target storage objects in the cold storage plant, the types of the target storage objects and the changes of the number of each type of target storage objects according to a sampling video. The using mode of a conventional cold storage plant does not need to be changed. The system achieves the intelligent and automatic counting and interaction functions, is high in management precision, is accurate in statistic data, and is good in use flexibility.

The invention discloses a power grid project management method which comprises: acquiring a project management task, and the category and the grade of the project management task; determining a multi-level task implementation node of the project management task according to the category; according to a historical project having the same category and the same grade as the project management task, evaluating a planned construction period corresponding to the multi-level task implementation node; acquiring an actual construction period corresponding to the multi-level task implementation node; storing the multi-level task implementation node, the planned construction period and the actual construction period in a data structure of a predetermined format; reading the data structure of the predetermined format, and generating a Gantt chart for describing the implementation of the project management task from the data structure; and calculating the project parameters of the project management task according to the Gantt chart. The method makes a non-professional worker familiar with the process nodes, the planed project progress and the actual project progress of engineering construction, avoids missing and omitted items in the project management process, reduces labor cost, and achieves fast and accurate data statistics.

The invention provides a method and system for judging sleep depth based on sternal manubrium anterior area brain waves. The method comprises the following steps of: collecting brain wave informationat the sternal manubrium anterior area of a testee by a physiological information picking-up transmitter; continuously reading the collected brain wave information within the collection period, wherein the brain wave information comprises at least one of alpha brain waves, beta brain waves and theta brain waves; judging whether the sleep depth of the testee by the brain wave information is in thestate of eye closing, or the somnolence state or the deep sleeping state; and separately counting the accumulative duration of the state of eye closing, the somnolence state and the deep sleeping state, using the accumulative duration as sleep parameter data, and outputting the accumulative duration, wherein the brain wave signals comprise the alpha brain waves, the beta brain waves and the thetabrain waves. The system adopts the method. The method for judging the sleep depth based on the brain waves is accurate for sleep depth judgment, the testee only needs to wear the physiological information picking-up transmitter, and the sleep state of the testee cannot be influenced.

The invention discloses a method and a system for monitoring and recording the switch life of a switch module. The method comprises the following steps of: acquiring switch on-off times stored in a switch module in real time; performing switch state switching every time by the switch module, wherein the on-off frequency of the switch channel is accumulated once, and whether the on-off frequency ofthe switch channel exceeds the maximum switching frequency or not is automatically determined; if yes, automatically giving an alarm prompt; otherwise, programming the on-off times of the switch intothe switch module; and updating a locally stored switch on-off frequency information file. The beneficial effects of the method and the system for monitoring and recording the switch life of the switch module are that the real-time recording and storage of the switching frequency of each switch are achieved, alarm prompt is given if the maximum switching frequency is reached to bring convenienceto a user for mastering the general use condition of the switch module.

The invention relates to the technical field of medical instruments, in particular to an in-vivo reverse isolated ultrafiltration dialysis device. The device comprises an ultrafiltration dialysis unit, a negative pressure generation unit and a waste liquid drainage unit, the negative pressure generation unit communicates with the ultrafiltration dialysis unit, the waste liquid drainage unit communicates with the ultrafiltration dialysis unit, and the ultrafiltration dialysis unit comprises a base, a sealing plate and an ultrafiltration dialysis beam. The device can be buried in the central vein of a patient for a long time, and can bring convenience to the patient especially for the patient needing hemodialysis for a long time. The device brings possibility that the dialysis patient can still walk during dialysis, more importantly, the treatment cost of the dialysis patient can be effectively reduced, the puncture frequency of the dialysis patient can be effectively reduced, pain is relieved, and it can be guaranteed that the patient can conduct dialysis smoothly. Meanwhile, the device has no requirement on the specification of liquid collecting bags, and the liquid collecting bagswith different specifications can be used, so that the practicability of the device is better.

The invention discloses an electronic seal monitoring system and method, and the system comprises a data collection end which is used for collecting the door state information of a monitored house; anedge computing platform used for processing the door state information from the data acquisition end; a cloud end used for counting and integrating the processed door state information data from theedge computing platform to obtain visual information; and a user terminal used for receiving and displaying the visual information from the cloud end. The electronic seal monitoring system provided bythe embodiment of the invention has video real-time monitoring and video playback functions, can provide a video associated with each piece of historical alarm information, can provide a big data statistics function at the cloud end, can quickly integrate huge numerous data, provides accurate statistical data and various data visualization forms. A user can observe data more visually.

The invention provides a method and a system for determining users of a rail transit tool as well as electronic equipment, and relates to the technical field of data statistics. The method for determining the users of the rail transit tool comprises the following steps: acquiring working parameters of base stations covering the rail traffic tool; marking the working parameters of the base stationsaccording to stations of the rail traffic tool to obtain marked working parameters of the base stations; marking signaling data of the rail traffic tool according to the marked working parameters ofthe base stations to obtain marked signaling data; and judging the plurality of marked signaling data according to a travel data decision model of the rail traffic tool in order to determine the usersof the rail traffic tool. Through adoption of the method and the system, the technical problem of relatively low accuracy of an existing method for performing analysis and statistics on the passengers of the rail traffic tool in the prior art is solved.

The invention relates to the technical field of customer analysis, and discloses a big data-based customer analysis system, which comprises a big data server, and is characterized in that the input end of the big data server is electrically connected with the output end of a cloud computing platform, and the input end of the cloud computing platform is electrically connected with the output end ofa data acquisition module; the data acquisition module is in communication connection with a client terminal, the cloud computing platform comprises a data storage module, a data management module and a data analysis module, and the data storage module, the data management module and the data analysis module are electrically connected with the cloud computing module; and the output end of the bigdata server is electrically connected with the input end of the data visualization terminal. Data analysis of the whole system is systematic and perfect, high-quality analysis results can be guaranteed by processing the data through standardized processes and tools, and enterprises correspondingly adjust marketing schemes and plans of the enterprises according to the data analysis results.