CN114563991A - Intelligent overall process quality control system for nuclear medicine image examination - Google Patents
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Abstract
The invention provides an intelligent overall process quality control system for nuclear medicine image examination, which comprises: the system comprises a business auxiliary platform server, a quality control audit platform server, a quality control research and judgment analysis platform server, a quality control big data center and a plurality of intelligent terminals; the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server can call or store data from the quality control big data center; the plurality of intelligent terminals can be connected with the service auxiliary platform server; the intelligent terminals can be connected with the quality control audit platform server; the plurality of intelligent terminals can be connected with the quality control research and judgment analysis platform server; the intelligent terminal can help a user to work in a paperless manner; the intelligent terminal can help a user audit the business process. The system provided by the invention can realize all-service flow tracking, all-equipment operation link monitoring, all-output data control and intelligent quality control analysis and decision.
Description
Technical Field
The invention belongs to the technical field of medical treatment, and particularly relates to an intelligent overall process quality control system for nuclear medicine image examination.
Background
Nuclear medicine image examination is a medical examination method that is currently in common use. It has many kinds of image inspection, such as: bone imaging, thyroid phenomenon, renal kinesis imaging, cardiac muscle imaging, liver and gall imaging and the like. Is often used for tumor diagnosis, staging, curative effect evaluation and follow-up; cardiovascular diseases; neurodegenerative disorders; special population and tumor screening, etc.
Meanwhile, the nuclear medicine image examination has the characteristics of complex process, many related precise instruments, high radioactivity protection requirement, difficult image data error identification and the like, so that the intelligent quality control analysis engine for full-service flow tracking, full-equipment operation link monitoring and full-output data management and control is designed. So that the nuclear medicine image examination operation protocol is measurable, predictable and traceable. Thereby realizing the quality control of the nuclear medicine image examination.
The current strategy of quality control for nuclear medicine examinations is based mainly on extensive examinations with the experiential examination of the examiners, relying on a normative operating regime. Firstly, in each link in the service flow, hospital systems such as HIS, PACS, LIS and the like are mainly connected, and data related to quality control is derived from the systems when the quality control is involved; secondly, in the operation link of the equipment, the order making is generally carried out, such as: and the examination list before the scanning of the patient, the equipment operation maintenance list, the daily examination list of the indoor environment and other human means are used for detection. And thirdly, deducing the research and reading of the model scanning data by an experienced expert in the aspect of image quality control.
In the quality control, for the processing in the aspect of business process, since the analysis data related to the quality control may exist in a plurality of systems or a plurality of modules of one system, after the data is separately extracted for the quality management, the researchers tabulate according to the relevance. The existing scheme has the problems of non-centralized data, non-uniform format, non-visual clue acquisition and the like.
In the quality control, in relation to the operation of the equipment, since a technician cannot continuously check that there is a delay in examination and data not in real time due to a certain maintenance period. Secondly, the inspection process list and the tea house system are completed manually, so that the data error caused by human factors is uncontrollable.
In the aspect of image quality control in quality control, as the use and judgment of the scanning phantom are both used and judged by technicians according to experience, the problems of incomplete detection, severe dependence on operator experience in interpretation, insensitive data fluctuation and the like exist.
Disclosure of Invention
Technical problem to be solved
Aiming at the existing technical problems, the invention provides an intelligent overall process quality control system for nuclear medicine image examination, which can realize overall service flow tracking, overall equipment operation link monitoring, overall output data control and intelligent quality control analysis and decision.
(II) technical scheme
In order to achieve the purpose, the invention adopts the following main technical scheme:
an intelligent overall process quality management and control system for nuclear medicine image examination, comprising: the system comprises a business auxiliary platform server, a quality control audit platform server, a quality control research and judgment analysis platform server, a quality control big data center and a plurality of intelligent terminals;
the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server can call or store data from the quality control big data center;
the plurality of intelligent terminals can be connected with the service auxiliary platform server;
the intelligent terminals can be connected with the quality control audit platform server;
the intelligent terminals can be connected with the quality control analysis platform server;
the intelligent terminal can help a user to work in a paperless manner;
the intelligent terminal can help a user audit the business process;
the intelligent terminal can help the user to check the service quality.
Preferably, the method further comprises the following steps: a robot assistance mechanism;
the robot auxiliary mechanism is connected with the service auxiliary platform server;
the robot assistance mechanism includes at least: the system comprises a plurality of inspection guiding intelligent robots and a plurality of intelligent monitoring inspection robots;
the plurality of leading inspection intelligent robots and the plurality of intelligent monitoring inspection robots are connected with the service auxiliary platform server;
the inspection guiding intelligent robot is arranged at a department guiding position and used for guiding the patient to process the department business;
the intelligent monitoring inspection robot is arranged in a machine room or a precision equipment room and is used for monitoring or inspecting the running state of equipment.
Preferably, the local office service at least comprises: queuing for getting number, controlling gate to enter and exit, guiding service distribution, checking pre-form automatic filling and automatically identifying certificate number.
Preferably, the method further comprises the following steps: a device environment regulatory authority;
the equipment environment supervision mechanism is connected with the quality control research and judgment analysis platform server;
the equipment environment regulatory agency comprises: the system comprises a measurement and control component, a monitoring component, a sensing component and an early warning component;
the measurement and control component, the monitoring component, the sensing component and the early warning component are all connected with the quality control research and judgment analysis platform server;
the early warning component is also connected with the service auxiliary platform server.
Preferably, the measurement and control assembly comprises: the measurement and control host and the measurement and control die body;
the measurement and control host is respectively connected with the CT equipment and the quality control research and judgment analysis platform server;
the measurement and control host can control the CT equipment to scan and test the measurement and control die body, and sends scanning data to the quality control research and judgment analysis platform server for researching, judging and comparing the health state of the CT equipment.
Preferably, the monitoring assembly comprises: the system comprises a monitoring machine room and a plurality of monitoring camera terminals;
the monitoring machine room is connected with a plurality of monitoring camera terminals;
the monitoring machine room is also connected with the quality control analysis platform server.
Preferably, the sensing assembly comprises: the system comprises a sensing data host and a plurality of groups of sensor terminals;
the sensing data host is connected with the multiple groups of sensor terminals;
the sensing data host is also connected with the quality control research and judgment analysis platform server;
the sensor terminal includes at least: temperature sensors, humidity sensors and radiation sensors.
Preferably, the early warning assembly includes: the early warning system comprises an early warning host and a plurality of early warning terminals;
the early warning host is respectively connected with the plurality of early warning terminals;
the early warning host is also connected with the quality control research and judgment analysis platform server;
the early warning terminal includes but is not limited to: radio, cell phone, tablet, computer, and alarm.
Preferably, the quality control big data center comprises: a data organization layer, a data access layer and an infrastructure layer;
the infrastructure layer is respectively connected with the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server by means of the data organization layer and the data access layer, and the organization and the management of messages are realized.
Preferably, the infrastructure layer comprises at least: a distributed file system, a Raid5 disk array, and a balancing server.
(III) advantageous effects
The invention provides an intelligent overall process quality control system for nuclear medicine image examination, which has the following beneficial effects:
the system can realize all-service flow tracking, all-equipment operation link monitoring, all-output data management and control, and intelligent quality control analysis and decision.
The business auxiliary platform mainly improves the scientific management degree of the business, improves the electronization level of data by automatic acquisition, flat panel operation instead of pen and paper recording and the like to realize paperless office, and finally achieves the purposes of measuring, tracing and tracing business data; the quality control auditing platform is mainly used for standardizing the operation flow of the service and ensuring the operation safety and order of each link; the quality control research and judgment analysis platform aims to establish a set of dynamic autonomous quality analysis platform capable of being configured autonomously, and is used for managing and controlling quality from different dimensions and predicting the quality; the quality control big data center is the basis of each operation, connects the quality control data of each yard area, and simultaneously carries out standardized storage and treatment on the data.
Drawings
Fig. 1 is a schematic structural diagram of an overall process quality control system for intelligent nuclear medicine image inspection according to the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
As shown in fig. 1: the embodiment of the invention discloses an overall process quality control system of intelligent nuclear medicine image inspection, including: the system comprises a business auxiliary platform server, a quality control audit platform server, a quality control research and judgment analysis platform server, a quality control big data center and a plurality of intelligent terminals; the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server can call or store data from the quality control big data center; the plurality of intelligent terminals can be connected with the service auxiliary platform server; the intelligent terminals can be connected with the quality control audit platform server; the intelligent terminals can be connected with the quality control analysis platform server; the intelligent terminal can help a user to work in a paperless manner; the intelligent terminal can help a user audit a business process; the intelligent terminal can help the user to check the service quality.
It should be noted that: the service auxiliary platform on the intelligent terminal is mainly used for improving the scientific management degree of the service, paperless office work is realized by improving the electronization level of data through automatic collection, flat panel operation instead of pen and paper recording and the like, and finally, the service data can be measured, tracked and traceable.
The quality control audit platform is mainly used for standardizing the operation flow of the business and guaranteeing the operation safety and order of each link.
The quality control, studying and judging and analyzing platform aims to establish a set of dynamic and autonomously configurable autonomous quality analyzing platform, and is used for managing and controlling quality from different dimensions and predicting the quality.
The intelligent terminal here includes but is not limited to: cell phones, tablets, laptops, desktop PCs, and other intelligent networking devices.
The overall process quality control system for intelligent nuclear medicine image examination provided in this embodiment further includes: a robot assistance mechanism; the robot auxiliary mechanism is connected with the service auxiliary platform server; the robot assistance mechanism includes at least: the system comprises a plurality of inspection guiding intelligent robots and a plurality of intelligent monitoring inspection robots; the plurality of leading inspection intelligent robots and the plurality of intelligent monitoring inspection robots are connected with the service auxiliary platform server; the inspection guiding intelligent robot is arranged at a department guiding position and used for guiding the patient to process the department business; the intelligent monitoring inspection robot is arranged in a machine room or a precision equipment room and is used for monitoring or inspecting the running state of equipment.
Specifically, the home office service includes at least: queuing for getting number, controlling gate to enter and exit, guiding service distribution, checking pre-form automatic filling and automatically identifying certificate number.
The overall process quality control system for intelligent nuclear medicine image examination provided in this embodiment further includes: a device environment regulatory authority; the equipment environment supervision mechanism is connected with the quality control research and judgment analysis platform server; the equipment environment regulatory agency comprises: the system comprises a measurement and control component, a monitoring component, a sensing component and an early warning component; the measurement and control component, the monitoring component, the sensing component and the early warning component are all connected with the quality control research and judgment analysis platform server; the early warning component is also connected with the service auxiliary platform server.
In detail, the measurement and control assembly described in this embodiment includes: a measurement and control host and a measurement and control die body; the measurement and control host is respectively connected with the CT equipment and the quality control research and judgment analysis platform server; the measurement and control host can control the CT equipment to scan and test the measurement and control die body, and sends scanning data to the quality control research and judgment analysis platform server for researching, judging and comparing the health state of the CT equipment.
The monitoring component described in this embodiment includes: the system comprises a monitoring machine room and a plurality of monitoring camera terminals; the monitoring machine room is connected with a plurality of monitoring camera terminals; and the monitoring machine room is also connected with the quality control research and judgment analysis platform server.
The sensing assembly described in this embodiment includes: the system comprises a sensing data host and a plurality of groups of sensor terminals; the sensing data host is connected with the multiple groups of sensor terminals; the sensing data host is also connected with the quality control research and judgment analysis platform server; the sensor terminal includes at least: temperature sensors, humidity sensors and radiation sensors.
The early warning assembly described in this embodiment includes: the early warning system comprises an early warning host and a plurality of early warning terminals; the early warning host is respectively connected with the plurality of early warning terminals; the early warning host is also connected with the quality control research and judgment analysis platform server; the early warning terminal includes but is not limited to: radio, cell phone, tablet, computer, and alarm.
The quality control big data center described in this embodiment includes: a data organization layer, a data access layer and an infrastructure layer; the infrastructure layer is respectively connected with the business auxiliary platform server, the quality control audit platform server and the quality control analysis platform server and manages the organization of messages by means of the data organization layer and the data access layer.
The infrastructure layer described in this embodiment includes at least: a distributed file system, a Raid5 disk array, and a balancing server.
In this embodiment, the service assistance platform server functions are divided into two parts.
(1) And (4) informationizing the workflow.
Patient information, form information, medication information, etc. need to be checked prior to testing. And carrying out butt joint check on the information used in the processing flow by the two-dimensional code.
And during the inspection, the electronic system is directly operated to interact through the touch control and the system of the panel. And through the process verification, the standard verification and the sensor verification of the system, the orderly, safe and compliant detection process is established.
Finally, the actual operation condition of the regulation and regulation is regulated and optimized through an informatization detection platform.
(2) Robot auxiliary platform
And (4) guiding and checking by a robot: an intelligent robot is arranged at a department guide position to guide the patient to process the department service. The robot has the functions of number taking and queuing, gate in and out control, service shunting guidance, automatic filling of check front forms, automatic identification of certificate numbers and the like. And guarantee is provided for promoting paperless office work and scientific management. The optimization improves the working efficiency and reduces the complicated and inefficient labor of medical staff.
Robot waste treatment system: the overall process quality control system for the intelligent nuclear medicine image examination in the embodiment at least comprises three parts, namely a service management system, an equipment operation environment monitoring system and a data quality control analysis system. The business management part is responsible for managing subject equipment, physician teams, files and the like and simultaneously interfacing with a hospital management system. Thereby providing judgment basis and data support for quality control analysis; the equipment operation environment monitoring part realizes real-time monitoring of the equipment operation environment, daily monitoring result recording of the equipment and maintenance test recording of the equipment; the data quality control analysis system measures and predicts quality control from the perspective of business flow, the perspective of equipment operating environment and the perspective of medical image quality respectively.
The quality control audit platform service in the embodiment is divided into three parts
(1) Audit overview
And (3) auditing the working quality of a service related party: and counting the service quality of each participant. Such as: the method comprises the steps of comparing the total work number and the compliance work number of medical staff, analyzing the monthly workload of the medical staff, comparing the work frequency and the image quality of equipment, analyzing the dosage of the same medicament and the like. And displaying the task completion condition and the task quality feedback condition of the relevant party by a visual means.
Adverse event situation: recording the occurrence condition of the adverse events, and designing by season comparison, generation equipment comparison, generation personnel comparison and the like of the adverse events. And feeding back the fragile risk points of the current work task.
And displaying the equipment environment in real time: the temperature, the humidity, the ventilation condition, the dust density and the radiation condition of the equipment operation environment are monitored for 7X24 hours. Therefore, the dynamic adjustment of the equipment operation environment is realized. The equipment is ensured to be in the latest working state, so that the service life of the equipment is prolonged.
By recording the maintenance condition of the equipment. And recording the maintenance frequency, the explosion content, the maintenance test and the maintenance calibration information.
(2) Service audit situation
Checking the certificates of the operators: the on-duty qualification, the certificate validity period, the historical events and the like of the operators are examined, and the operators are ensured to have orderly operation specifications.
Checking the operation specification: each requirement of the check is implemented through an information system, and each step of the specified specification is ensured to be executed.
And (4) examining a business flow table: and performing form authorization examination, informing a user of examination and the like on the forms which need to be circulated in one step.
(3) Machine audit
And (3) quality control leader group construction: and constructing a quality control leader group according to the specifications, and recording the job performance of the members of the leader group. Meanwhile, the leader group is assisted to carry out conference management, group preschool arrangement and the like.
And (3) managing a quality control manual: recording the edition and each revision of the quality control manual, compiling standard constraint and inputting into the informatization system for the content specified in the quality control manual, and examining the execution condition of the quality control manual with the assistance of the informatization system
A medical staff training system: the medical staff can be trained on duty training, middle training and the like, and meanwhile, video training can be carried out through the system.
The quality control analysis platform service in this embodiment includes two parts
(1) Analysis assembly
Image quality analysis system: and analyzing the image quality by using an image analysis engine pair of the analysis engine. And the fine-grained intelligent analysis on the image quality is realized. And carrying out early warning on the image with poor influence quality.
Image quality feedback system: the reading of the picture by a doctor is the analysis of the picture. Image quality feedback collection is performed. Meanwhile, the results of the doctor feedback and the intelligent image quality analysis system are used for correction.
Testing and analyzing equipment model bodies: the model body is required to be scanned every day by devices such as CT, the working state of the devices on the day is confirmed, and the quality of the scanned model body every day by CT is analyzed. And evaluating the health state of the current equipment. Meanwhile, the scanning results of the equipment with the same model of the same manufacturer are compared, and the health state of the current equipment is judged.
Equipment environment supervisory systems: the current operating environment of the equipment is supervised in real time, and the abnormal environment is early warned.
And simultaneously recording the test of the equipment operating environment. Such as: and recording and analyzing test results such as artifact detection, uniformity test, normalization correction, spatial resolution test, image fusion test, rotation center test, four-quadrant lead deletion test, system model test and the like.
Predicting the use condition of consumables: and monitoring the conditions of feeding, consumption, inventory and the like of consumables. And estimating the consumption of the consumable materials, and balancing the feeding, the inventory and the like of the consumable materials.
Consumable loss evaluation system: and (4) monitoring each using link of the consumable material, and counting the loss of each link. And the early warning is carried out on the links with serious loss. And meanwhile, early warning is carried out on consumables approaching the period of validity. Through carrying out quantitative analysis to the consumptive material loss condition, the control loss reduces consumptive material use cost.
(2) Analysis engine
Apache Spark: apache Spark is a fast, general-purpose computing engine designed specifically for large-scale data processing. Spark is a universal parallel framework similar to Hadoop MapReduce and derived from UC Berkeley AMP lab (AMP labs of Berkeley university, California), Spark has the advantages of Hadoop MapReduce; but different from MapReduce, Job intermediate output results can be stored in a memory, so that HDFS reading and writing are not needed, and Spark can be better suitable for MapReduce algorithms which need iteration, such as data mining, machine learning and the like.
An image analysis engine: the image is formatted and subjected to standard analysis by integrating algorithms such as medical images, mathematical modeling, digital image processing and analysis, artificial intelligence, mathematical graphs and the like.
Environmental anomaly discovery system: and integrating an environment anomaly detection algorithm and calculating the environment in real time. Such as: current unprecedented three-dimensional radiation intensity calculations, and so on.
The quality control big data center in the embodiment comprises four parts
(1) Data organization layer
The data organizational layer is the organizational management of data and process messages. And the data is subjected to tasks such as treatment, blood relationship management, storage, external service and the like.
HBASE: HBase is a distributed and column-oriented open source database, and unlike a general relational database, HBase is a database suitable for unstructured data storage. Another difference is that HBase is based on column rather than row mode
Message bus: the message bus implements the open source message broker software of the Advanced Message Queuing Protocol (AMQP).
A data warehouse.
(2) Data access layer
The data access layer is used for ensuring data safety and completing access to a big data center.
Dicom Server: the DICOM server implements the communication service module in the DICOM3.0 standard. Can be seamlessly docked with influence systems such as PACS.
HIS adapter: the HIS adapter realizes seamless connection with the HIS system.
Sensor Interface: the Sensor Interface integration realizes seamless butt joint with each Sensor. Such as: temperature, humidity, radiation conditions, ventilation conditions, etc.
(3) Infrastructure layer
The infrastructure layer is used for ensuring the service environment of all the services. Through the combination of a distributed file system and a Raid5 disk array, a file storage system with low cost, high stability and high performance is built. The large-volume data is realized, and the high-efficiency reading and writing speed is provided.
Distributed file system: distributed File System (DFS) means that physical storage resources managed by a File System are not necessarily directly connected to a local node, but are connected to a node (which may be simply understood as a computer) through a computer network; or a complete hierarchical file system formed by combining several different logical disk partitions or volume labels
Raid5 disk array: RAID5 is a storage solution that addresses storage performance, data security, and storage cost. RAID5 may be understood to be a compromise between RAID0 and RAID 1. RAID5 may provide data security for the system, but the security level is lower than that of Mirror and the utilization rate of disk space is higher than that of Mirror. RAID5 has a data read rate similar to RAID0, except for one more parity, and writes data slightly slower than a single disk write. Meanwhile, as a plurality of data correspond to one parity check information, the utilization rate of the disk space of the RAID5 is higher than that of the RAID1, the storage cost is relatively low, and the method is a solution scheme which is applied more
The responsible balancing server: load balancing builds on existing network architectures and provides an inexpensive, efficient, transparent way to extend the bandwidth of network devices and servers, increase throughput, enhance network data processing capabilities, and increase network flexibility and availability.
(4) Network layer
The network layer is constructed for guaranteeing the safety of multi-courtyard network communication.
Medical local area network: the medical local area network is usually a local area network built in a hospital.
Virtual VPN technology: the virtual VPN technology is a network communication channel separately established by an operator. The method has a safer data transmission environment.
Unidirectional gatekeeper technology: the unidirectional gatekeeper technology is a unidirectional channel for low-density network to high-density network transmission. The data security of the high-density network is guaranteed by strictly guaranteeing intelligent one-way transmission of data.
The technical principles of the present invention have been described above in connection with specific embodiments, which are intended to explain the principles of the present invention and should not be construed as limiting the scope of the present invention in any way. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive efforts, which shall fall within the scope of the present invention.
Claims (10)
1. The utility model provides an intelligence nuclear medicine image inspection's overall process quality management and control system which characterized in that includes: the system comprises a business auxiliary platform server, a quality control audit platform server, a quality control research and analysis platform server, a quality control big data center and a plurality of intelligent terminals;
the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server can call or store data from the quality control big data center;
the plurality of intelligent terminals can be connected with the service auxiliary platform server;
the intelligent terminals can be connected with the quality control audit platform server;
the intelligent terminals can be connected with the quality control analysis platform server;
the intelligent terminal can help a user to work in a paperless manner;
the intelligent terminal can help a user audit a business process;
the intelligent terminal can help the user to check the service quality.
2. The quality management and control system of claim 1,
further comprising: a robot assistance mechanism;
the robot auxiliary mechanism is connected with the service auxiliary platform server;
the robot assistance mechanism includes at least: the system comprises a plurality of inspection guiding intelligent robots and a plurality of intelligent monitoring inspection robots;
the plurality of leading inspection intelligent robots and the plurality of intelligent monitoring inspection robots are connected with the service auxiliary platform server;
the inspection guiding intelligent robot is arranged at a department guiding position and used for guiding the patient to process the department business;
the intelligent monitoring inspection robot is arranged in a machine room or a precision equipment room and is used for monitoring or inspecting the running state of equipment.
3. The quality management and control system of claim 2,
the local office business at least comprises: queuing for getting number, controlling gate to enter and exit, guiding service distribution, checking pre-form automatic filling and automatically identifying certificate number.
4. The quality management and control system of claim 3,
further comprising: a device environment regulatory authority;
the equipment environment supervision mechanism is connected with the quality control research and judgment analysis platform server;
the equipment environment regulatory agency comprises: the system comprises a measurement and control component, a monitoring component, a sensing component and an early warning component;
the measurement and control component, the monitoring component, the sensing component and the early warning component are all connected with the quality control research and judgment analysis platform server;
the early warning component is also connected with the service auxiliary platform server.
5. The quality management and control system of claim 4,
the measurement and control assembly comprises: the measurement and control host and the measurement and control die body;
the measurement and control host is respectively connected with the CT equipment and the quality control research and judgment analysis platform server;
the measurement and control host can control the CT equipment to scan and test the measurement and control die body, and sends scanning data to the quality control research and judgment analysis platform server for researching, judging and comparing the health state of the CT equipment.
6. The quality management and control system of claim 5,
the monitoring assembly includes: the system comprises a monitoring machine room and a plurality of monitoring camera terminals;
the monitoring machine room is connected with a plurality of monitoring camera terminals;
and the monitoring machine room is also connected with the quality control research and judgment analysis platform server.
7. The quality management and control system of claim 6,
the sensing assembly includes: the system comprises a sensing data host and a plurality of groups of sensor terminals;
the sensing data host is connected with the multiple groups of sensor terminals;
the sensing data host is also connected with the quality control research and judgment analysis platform server;
the sensor terminal includes at least: temperature sensors, humidity sensors and radiation sensors.
8. The quality management and control system of claim 7,
the early warning subassembly includes: the early warning system comprises an early warning host and a plurality of early warning terminals;
the early warning host is respectively connected with the plurality of early warning terminals;
the early warning host is also connected with the quality control research and judgment analysis platform server;
the early warning terminal includes but is not limited to: radio, cell phone, tablet, computer, and alarm.
9. The quality management and control system of claim 8,
the quality control big data center comprises: a data organization layer, a data access layer and an infrastructure layer;
the infrastructure layer is respectively connected with the service auxiliary platform server, the quality control auditing platform server and the quality control studying and judging analysis platform server by means of the data organization layer and the data access layer, and the organization and the management of messages are realized.
10. The quality management and control system of claim 9,
the infrastructure layer includes at least: a distributed file system, a Raid5 disk array, and a balancing server.
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