CN112306001A - Intelligent system fusion platform and working method thereof - Google Patents
Intelligent system fusion platform and working method thereof Download PDFInfo
- Publication number
- CN112306001A CN112306001A CN201910679722.7A CN201910679722A CN112306001A CN 112306001 A CN112306001 A CN 112306001A CN 201910679722 A CN201910679722 A CN 201910679722A CN 112306001 A CN112306001 A CN 112306001A
- Authority
- CN
- China
- Prior art keywords
- unit
- command
- logic
- voice
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000004927 fusion Effects 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims description 33
- 238000004422 calculation algorithm Methods 0.000 claims description 20
- 238000004458 analytical method Methods 0.000 claims description 13
- 239000000126 substance Substances 0.000 claims description 12
- 238000003066 decision tree Methods 0.000 claims description 11
- 238000007635 classification algorithm Methods 0.000 claims description 10
- 230000008451 emotion Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 9
- 230000003213 activating effect Effects 0.000 claims description 7
- 230000006870 function Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims 1
- 230000010354 integration Effects 0.000 claims 1
- 238000012545 processing Methods 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000013135 deep learning Methods 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000383 hazardous chemical Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31439—Alarms can be warning, alert or fault
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an intelligent system fusion platform and a working method thereof, wherein the platform comprises: the system comprises field positioning equipment and a control center; the field positioning equipment comprises an intelligent bracelet/mobile terminal and a sensor; the intelligent bracelet/mobile terminal detects the real-time condition of the staff and interacts with the control center through signals; the sensor detects the field device and interacts with a control center signal; the control center comprises a logic unit, a command unit, a manual unit and a work order unit; the logic unit receives the uploaded detection signal, generates a logic command and outputs the logic command to the command unit; the command unit automatically feeds back a control command to the field positioning equipment according to the logic command, accesses the manual unit and activates the work order unit; the manual unit realizes the remote information interaction between the intelligent system fusion platform and the staff; the work order unit automatically generates and dispatches the work order after being activated. The invention can realize intelligent property equipment management, personnel management and energy management.
Description
Technical Field
The invention relates to the technical field of computer artificial intelligent systems, in particular to an intelligent system fusion platform. In addition, the invention also discloses a working method of the intelligent system fusion platform.
Background
The traditional property management receives customer warranty, complaints and the like through manual telephone answering, and as customer service cannot directly see the field situation, the customer service needs a long time to verify the situation or inform related personnel to go to solve the situation; after a building is used for several years, equipment is seriously aged and damaged, and the traditional property management can only be processed by manual conventional overhaul of technical workers and emergency overhaul of users, so that the personnel cost is greatly increased; with the increase of the needs of the owners, in order to provide better service quality, the traditional property management means employs a large number of operators, including customer service, security, maintenance workers, etc., however, the labor cost is higher and higher, and the traditional property management company faces high expense cost. Therefore, how to develop a novel intelligent property management system can reduce the human cost, and when the customer needs, the processing time is shortened, the waiting time of the customer is shortened, and the customer experience is improved by calling the equipment information stored in the system. Are directions that need to be studied by a person skilled in the art.
Disclosure of Invention
The invention provides an intelligent system fusion platform to realize intellectualization and automation of property equipment management, personnel management and energy management. In the modularized design of the product architecture, the basic functions (personnel management, equipment management and energy management) which the management type fusion platform should have besides the characteristic functions can be simultaneously realized, so that the applicable scene of the platform has certain expansibility.
The technical scheme is as follows:
an intelligent system fusion platform, comprising: the field positioning equipment and the control center; the field positioning equipment comprises a portable device and a sensor; the portable device adopts an intelligent bracelet/mobile terminal and is fixed on the body of a worker, the state of the worker and the task situation are detected in real time, and the portable device interacts with a control center signal; the sensor is fixed on the field device and used for realizing detection of the field device and interacting with a control center signal; the control center comprises a logic unit, a command unit, a manual unit and a work order unit; the logic unit is used for receiving the detection signal uploaded by the field positioning equipment, generating a logic command and outputting the logic command; the command unit is used for reading the logic unit, automatically feeding back a control command to the field positioning equipment according to the logic command, accessing the manual unit and activating the work order unit; the manual unit is used for realizing the remote information interaction between the intelligent system fusion platform and the working personnel; and the work order unit is used for automatically generating and dispatching a work order, namely an intelligent dispatch order, through a data summarizing multi-angle intelligent analysis and recommendation algorithm after being activated.
By adopting the technical scheme: the remote detection and monitoring of the field equipment are realized based on the sensor, the control center realizes the information control and the position positioning of personnel/field equipment by remotely reading the output information of the field positioning equipment, and a corresponding feedback control mode is selected through the logic unit, so that the remote intelligent management of the personnel/equipment in a large range is realized, and meanwhile, the prejudgment and the effective prevention of equipment abnormity can also be realized.
Preferably, in the intelligent system fusion platform: the system also comprises a chat robot customer service system, wherein the chat robot customer service system comprises a voice unit, a semantic unit and an analysis unit; the voice unit is used for reading voice input by a telephone line, superposing industry vocabulary recognition on the basis of a conventional voice recognition technology, reducing a recognition voice range to a certain extent according to industry pertinence, helping a voice recognition result to be more accurately matched with industry and having higher recognition efficiency; the emotion weight judgment can be carried out on the voice through the sound wave, the weight marking can be carried out on the voice according to the emotion weight judgment result, and the voice signal with the weight marking can be output; the semantic unit is used for reading a voice unit, establishing a special industry knowledge map for an applicable industry, intercepting and outputting keywords in the voice signal, and matching the demand and the answer in real time; the analysis unit is used for reading the voice unit and the semantic unit, generating a logic command according to the weight marks and the keywords in the voice signal, feeding the logic command back to the logic unit, and outputting the logic command to the command unit through the logic unit.
By adopting the technical scheme: .
Based on the conventional voice recognition technology, the industry vocabulary recognition is superposed, and the recognition voice range is reduced to a certain extent according to the industry pertinence, so that the matching degree of the voice recognition result and the industry is more accurate, and the recognition efficiency is higher; meanwhile, emotion weight judgment is carried out on the voice through sound wave shapes, and visitor requirements are analyzed and understood based on semantic understanding. And finally, providing a processing scheme and a method through analysis and processing. And completing the docking and service with the visitor in a man-machine interaction mode.
More preferably, in the intelligent system fusion platform: the system also comprises a security robot; the security robot comprises a patrol unit, a monitoring unit, an alarm unit and an intelligent guide unit; the monitoring unit is used for reading the logic unit, performing self-checking monitoring and dangerous substance scanning monitoring in the moving process and outputting a scanning signal; the patrol unit is used for reading the monitoring unit, controlling the security robot to move along a prestored patrol route and collecting information of various environmental data around the moving path; the alarm unit is used for reading the monitoring unit and remotely outputting the scanning signal to the manual unit. The intelligent guiding unit is pre-stored with a decision tree algorithm and a linear classification algorithm and used for reading a command unit, converting industry requirements into system language and performing big data matching, and when dangerous substances are monitored and scanned, a moving path is selected according to a map module stored in a database by the decision tree algorithm and the linear classification algorithm in a matching way and is output to the patrol unit through the monitoring unit.
By adopting the technical scheme: the security robot moves according to a pre-designed route under the control of the patrol unit and patrols the property building in a subarea mode. During patrol, the monitoring unit searches and identifies peripheral abnormal actions and identifies specific disaster substances such as smoke and the like. And correspondingly triggering an alarm unit, wherein the alarm unit outputs a work order through the work order unit and informs workers of timely processing control. Therefore, unnecessary labor consumption is reduced, and the surrounding environment is identified more accurately while the work is efficient. Avoiding the manual error rate.
Further preferably, in the intelligent system fusion platform: the intelligent bracelet is provided with a GPS module, an identification module, a detection module and a wireless module; the GPS module is used for realizing GPS positioning of the smart bracelet; the identification module is used for realizing fingerprint identity identification of the wearing staff; the detection module is used for sensing the human body condition and outputting the generated sensing signal to the wireless module; the wireless module is used for realizing the remote information interaction between the intelligent bracelet and the control center.
By adopting the technical scheme: set up GPS module and realize carrying out the remote monitoring of health indexes such as rhythm of the heart, body temperature, step number, calorie to the staff who wears intelligent bracelet to the locate function, further, the setting detection module of intelligent bracelet position to guarantee that staff's is healthy. Further, set up identification module and realize carrying out identity to the staff who wears intelligent bracelet and examine.
The invention also discloses a working method of the intelligent system fusion platform, which comprises the following steps:
s1: the field device generates a fault, the sensor scans the field device and uploads a generated fault signal to the control center;
s2: the logic unit is used for receiving the detection signal uploaded by the field positioning equipment, generating a logic command and outputting the logic command to the command unit;
s3: the command unit is used for automatically feeding back a control command to the field positioning equipment according to a logic command, accessing the manual unit and activating the work order unit to automatically generate and dispatch the work order;
s4: and the field positioning equipment adjusts the work of the field equipment based on the control command, relieves the fault/reaches the field to relieve the fault after receiving the remote prompt or receiving the work order.
The invention also discloses a working method of the intelligent system fusion platform, which comprises the following steps:
s1: a user outputs a voice request through a telephone, a voice unit reads the voice request input by a telephone line, emotion weight judgment is carried out on the voice of the user based on sound wave shape, weight marking is carried out on the voice according to the emotion weight judgment result, and a voice signal with the weight marking is output;
s2: the semantic unit is used for reading a voice unit and intercepting and outputting keywords in the voice signal;
s3: the analysis unit is used for reading the voice unit and the semantic unit, generating a logic command according to the weight marks and the keywords in the voice signal and outputting the logic command to the command unit;
s4: : the command unit is used for automatically feeding back a control command to the field positioning equipment according to a logic command, accessing the manual unit and activating the work order unit to automatically generate and dispatch the work order;
s5: and the field positioning equipment adjusts the work of the field equipment based on the control command, relieves the fault/reaches the field to relieve the fault after receiving the remote prompt or receiving the work order.
The invention also discloses a working method of the intelligent system fusion platform, which comprises the following steps:
s1: the patrol unit controls the security robot to move along a prestored patrol route;
s2: the monitoring unit controls the security robot to scan dangerous substances in the moving process and outputs scanning signals to the alarm unit when the dangerous substances are scanned;
s3: the alarm unit reads the monitoring unit and remotely outputs a scanning signal to the manual unit;
s4: the intelligent guiding unit reads the patrol unit and the monitoring unit in real time, converts industry requirements into system language and performs big data matching, and selects a moving path according to a decision tree algorithm and a linear classification algorithm in combination with a map module stored in a database when the monitoring unit scans dangerous substances.
S5: and after receiving the remote prompt of the manual unit, the staff rush to the site to remove the fault.
Compared with the prior art, the invention has the beneficial effects that: the intelligent property management system can provide an optimal hand arrangement scheme through data analysis, so that a property management company can reduce hand arrangement to the maximum extent, and the cost is saved. Meanwhile, the order is automatically sent by the system, so that the personnel can be reasonably utilized to the maximum extent, and the problem of low working efficiency is solved. Meanwhile, all personnel information, equipment information and management modes can be stored in the system for the system to study by self, so that the training cost of newly-enrolled personnel is reduced when personnel change, and the risk of information loss caused by personnel movement is reduced.
Drawings
The invention will be described in further detail with reference to the following detailed description and accompanying drawings:
FIG. 1 is a block diagram showing the structure of embodiment 1;
FIG. 2 is a schematic view of the operation of example 1;
wherein the reference numerals are as follows:
1. a field locating device; 3. a control center; 4. a chat robot customer service system; 5. a security robot; 11. a smart bracelet; 12. a sensor; 31. a logic unit; 32. a command unit; 33. a manual unit; 34. a work order unit; 41. a voice unit; 42. a semantic unit; 43. an analysis unit; 51. a patrol unit; 52. a monitoring unit; 53. and an alarm unit.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the following will be further described with reference to various embodiments.
As shown in FIGS. 1-2, example 1 of the present invention:
an intelligent system fusion platform, comprising: the system comprises a field positioning device 1, a control center 3, a chat robot customer service system 4 and a security robot 5.
Wherein, the field positioning device 1 comprises an intelligent bracelet 11 and a sensor 12; intelligent bracelet 11 is used for fixing on one's body the staff, realizes the detection to the staff and 3 signal interaction with control center: specifically, the smart bracelet 11 is provided with a GPS module, an identification module, a detection module and a wireless module; the GPS module is used for realizing GPS positioning of the smart bracelet; the identification module is used for realizing fingerprint identity identification of the wearing staff; the detection module is used for sensing the human body index and outputting the generated sensing signal to the wireless module; the wireless module is used for realizing the remote information interaction between the intelligent bracelet 11 and the control center 3. The sensor 12 is fixed to the field device, and is used for detecting the field device and interacting with the control center 3 through signals.
The control center 3 comprises a logic unit 31, a command unit 32, a manual unit 33 and a work order unit 34; the logic unit 31 is configured to receive the detection signal uploaded by the field positioning device 1, generate a logic command, and output the logic command; the command unit 32 is used for reading the logic unit 31, automatically feeding back a control command to the field positioning device 1 according to the logic command, accessing the manual unit 33 and activating the work order unit 34; the manual unit 33 is used for realizing the remote information interaction between the intelligent system fusion platform and the staff; the work order unit 34 is used for automatically generating and dispatching work orders through a data summarization multi-angle intelligent analysis and recommendation algorithm after activation.
The chat robot customer service system 4 comprises a voice unit 41, a semantic unit 42 and an analysis unit 43; the voice unit 41 is configured to read a voice input from a telephone line, perform emotion weight determination on the voice based on a sound wave waveform, weight-label the voice according to an emotion weight determination result, and output a voice signal with a weight label; the semantic unit 42 is used for reading the voice unit 41, intercepting and outputting keywords in the voice signal; the analysis unit 43 is used for reading the voice unit 41 and the semantic unit 42, generating a logic command according to the weight marks and the keywords in the voice signal, feeding the logic command back to the logic unit 31, and outputting the logic command to the command unit 32 through the logic unit 31.
The security robot 5 comprises a patrol unit 51, a monitoring unit 52, an alarm unit 53 and an intelligent guide unit 54; the monitoring unit 52 is configured to read the logic unit 31, perform self-test monitoring and hazardous substance scanning monitoring during the moving process, and output a scanning signal; the patrol unit 51 is used for reading the monitoring unit 52, controlling the security robot 5 to move along a prestored patrol route and collecting information of various environmental data around the moving route; the alarm unit 53 is used for reading the monitoring unit 52 and remotely outputting the scanning signal to the manual unit 33. The intelligent guiding unit 54 is pre-stored with a decision tree algorithm and a linear classification algorithm, and is used for reading the command unit 32, converting the industry requirements into a system language, performing big data matching, and when dangerous substances are monitored and scanned, selecting a moving path according to a map module stored in a database by the decision tree algorithm and the linear classification algorithm in a matching manner, and outputting the moving path to the patrol unit 51 through the monitoring unit 52. Specifically, the method comprises the following steps: the working logic process of the intelligent guiding unit 54 is as follows: the method comprises the steps of outputting customer guiding requirements and destination voices, converting industry requirements into system languages based on voice recognition, performing big data matching in a database based on a knowledge graph, performing voice synthesis-horn playing to inform customers based on a decision tree algorithm and a linear classification algorithm, moving the guiding according to the customer requirements, matching positioning with a map module, and completing guiding tasks by an intelligent guiding unit according to recommended paths. The logic algorithms that the intelligent guiding unit 54 can adopt include an artificial neural network algorithm, a decision tree algorithm and a linear classification algorithm for system learning; after the system achieves certain training, unsupervised learning is adopted, such as an abnormal detection KNN algorithm, an association rule learning related algorithm and the like, so that the system learning independence is realized step by step; after the deep learning system is put into use, the system effect after deep learning is achieved through data and time accumulation.
Embodiment 1, equipment failure working process:
the method comprises the following steps: when the camera fails, the system displays that the equipment is failed and receives a warranty alarm.
Step two: the system generates and dispatches work orders. Based on a continuity decision tree algorithm, according to the job authority of the staff, the number of original work orders and the distance from the position of the fault equipment; the deep learning algorithm automatically judges the appropriate processing work order staff.
Step three: and the related staff receives the work order, and the system checks and records the working state of the staff according to the positioning.
Step four: the employee disarm the fault and send confirmation to the system. And after the system confirms that the fault is relieved, the alarm is eliminated.
Embodiment 2, chat robot customer service system working process:
the method comprises the following steps: the system answers the incoming call, automatically matches the incoming call information and confirms the identity of the client. The system knows that the customer is a 2102 tenant.
Step two: understanding customer needs: the area where the customer complains him is too hot
Step three: the system knows that the room central air conditioning temperature is set to 28 degrees celsius, and in combination with the current day air temperature of 32 degrees celsius, makes a decision to adjust the air conditioning temperature to 26 degrees celsius.
Step four: speech synthesis statements, feedback to the client. Replying that the client has adjusted the air conditioner temperature.
the method comprises the following steps: the system sets the self-help patrol time of the robot, and sets patrol lines of the robot according to a preset map.
Step two: when the preset time is reached, the robot patrols according to the set route, and identifies fire, abnormal behaviors and the like in the shopping mall and the corridor.
Step three: when an abnormal event occurs, such as smoke, unknown people and the like, the alarm is given to the system, and the processing is carried out according to the alarm plan of the system.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. The protection scope of the present invention is subject to the protection scope of the claims.
Claims (7)
1. An intelligent system fusion platform, comprising: the system comprises a field positioning device (1) and a control center (3);
the field positioning equipment (1) comprises a portable device (11) and a sensor (12); the portable device (11) is an intelligent bracelet or a mobile terminal, is fixed on a worker body, is portable, detects body indexes and moving paths of the worker, and is used as a carrier to realize signal interaction with the control center (3); the sensor (12) is fixed on the field device, is used for realizing the state detection and data collection of the field device and interacts with the signal of the control center (3);
the control center (3) comprises a logic unit (31), a command unit (32), a manual unit (33) and a work order unit (34); the logic unit (31) is used for receiving various data integration of the detection signals uploaded by the field positioning equipment (1), generating a logic command and outputting the logic command; the command unit (32) is used for reading the logic unit (31), and automatically feeding back a control command/accessing a manual unit (33)/activating a work order unit (34) to the field positioning equipment (1) according to the logic command; the manual unit (33) is used for realizing the remote information interaction between the intelligent system fusion platform and the working personnel; and the work order unit (34) is used for automatically generating and dispatching work orders through a data summarization multi-angle intelligent analysis and recommendation algorithm after being activated.
2. The intelligent system fusion platform of claim 1, wherein: the system also comprises a chat robot customer service system (4), wherein the chat robot customer service system (4) comprises a voice unit (41), a semantic unit (42) and an analysis unit (43); the voice unit (41) is used for reading voice input by a telephone line, performing weight marking on the voice according to an emotion weight judgment result and outputting a voice signal with the weight marking; the semantic unit (42) is pre-stored with an industry knowledge graph formed by keyword marks and industry requirements and voice answers, and is used for reading the voice unit (41), intercepting and outputting keywords in the voice signal, and matching and outputting the industry requirements and the voice answers corresponding to the voice signal in real time; the analysis unit (43) is used for reading the voice unit (41) and the semantic unit (42), generating a logic command according to the weight marks and the keywords in the voice signal, feeding the logic command back to the logic unit (31), and outputting the logic command to the command unit (32) through the logic unit (31).
3. The intelligent system fusion platform of claim 1, wherein: the safety protection robot (5) is also included; the security robot (5) comprises a patrol unit (51), a monitoring unit (52), an alarm unit (53) and an intelligent guide unit (54); the monitoring unit (52) is used for reading the logic unit (31), performing self-checking monitoring and dangerous substance scanning monitoring in the moving process and outputting scanning signals; the patrol unit (51) is used for reading the monitoring unit (52), controlling the security robot (5) to move along a prestored patrol route and collecting information of various environmental data around the moving path; the alarm unit (53) is used for reading the monitoring unit (52) and remotely outputting a scanning signal to the manual unit (33); the intelligent guiding unit (54) is pre-stored with a decision tree algorithm and a linear classification algorithm and used for reading the command unit (32), converting industry requirements into system language, matching big data, and matching and selecting a moving path according to a map module stored in a database by the decision tree algorithm and the linear classification algorithm when dangerous substances are monitored and scanned, and outputting the moving path to the patrol unit (51) through the monitoring unit (52).
4. The intelligent system fusion platform of claim 1, wherein: the intelligent bracelet (11) is internally provided with a GPS module, an identification module, a detection module and a wireless module; the GPS module is used for realizing GPS positioning of the smart bracelet; the identification module is used for realizing fingerprint identity identification of the wearing staff; the detection module is used for sensing the human body condition and outputting the generated sensing signal to the wireless module; the wireless module is used for realizing the remote information interaction between the intelligent bracelet (11) and the control center (3).
5. An intelligent system fusion platform working method is characterized by comprising the following steps:
s1: the field device generates a fault, the sensor (12) scans the field device and uploads a generated fault signal to the control center (3);
s2: the logic unit (31) is used for receiving the detection signal uploaded by the field positioning equipment (1), generating a logic command and outputting the logic command to the command unit (32);
s3: the command unit (32) is used for automatically feeding back a control command/accessing a manual unit (33)/activating a work order unit (34) to the field positioning equipment (1) according to a logic command to automatically generate and dispatch a work order;
s4: the field positioning equipment (1) adjusts the work of the field equipment based on the control command, relieves the fault/after the staff receives the remote reminding or receives the work order, rush to the field to relieve the fault.
6. An intelligent system fusion platform working method is characterized by comprising the following steps:
s1: a voice unit (41) reads a voice request inputted from a telephone line, performs emotion weight determination on the voice of the user based on a sound wave waveform, weight-marks the voice according to the emotion weight determination result, and outputs a voice signal with the weight-mark;
s2: the semantic unit (42) is used for reading the voice unit (41), intercepting and outputting keywords in the voice signal;
s3: the analysis unit (43) is used for reading the voice unit (41) and the semantic unit (42), generating a logic command according to the weight marks and the keywords in the voice signal and outputting the logic command to the command unit (32);
s4: the command unit (32) is used for automatically feeding back a control command/accessing a manual unit (33)/activating a work order unit (34) to the field positioning equipment (1) according to a logic command, and automatically generating and dispatching a work order, namely an intelligent work order dispatching function;
s5: the field positioning equipment (1) intelligently adjusts the work of the field equipment based on the control command, relieves the fault/after receiving remote reminding or receiving a work order, the staff rush to the field to relieve the fault.
7. An intelligent system fusion platform working method is characterized by comprising the following steps:
s1: the patrol unit (51) controls the security robot (5) to move along a prestored patrol route;
s2: the monitoring unit (52) controls the security robot (5) to scan dangerous substances in the moving process and outputs scanning signals to the alarm unit (53) when the dangerous substances are scanned;
s3: the alarm unit (53) reads the monitoring unit (52) and remotely outputs a scanning signal to the manual unit (33);
s4, the intelligent guiding unit (54) reads the patrol unit (51) and the monitoring unit (52) in real time, converts the industry requirements into system language and performs big data matching, and selects a moving path according to a decision tree algorithm and a linear classification algorithm in combination with a map module stored in a database when the monitoring unit (52) scans dangerous substances;
s5, the manual unit (33) links the logic unit (51) with the optimal staff person for the algorithm matching task according to the data of staff positioning, staff duty, staff task flow and the like;
s6: after receiving the remote prompt of the manual unit (33), the staff rush to the site to remove the fault.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910679722.7A CN112306001A (en) | 2019-07-26 | 2019-07-26 | Intelligent system fusion platform and working method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910679722.7A CN112306001A (en) | 2019-07-26 | 2019-07-26 | Intelligent system fusion platform and working method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112306001A true CN112306001A (en) | 2021-02-02 |
Family
ID=74329533
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910679722.7A Pending CN112306001A (en) | 2019-07-26 | 2019-07-26 | Intelligent system fusion platform and working method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112306001A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203133608U (en) * | 2013-01-15 | 2013-08-14 | 长安大学 | Movable monitor robot system with voice function |
| CN103929551A (en) * | 2013-01-11 | 2014-07-16 | 上海掌门科技有限公司 | Assisting method and system based on call |
| CN104486516A (en) * | 2014-11-13 | 2015-04-01 | 国网浙江省电力公司电力科学研究院 | Robot voice service method of 95598 large telephone traffic-based IVR (Interactive Voice Response) intelligent system |
| CN105895101A (en) * | 2016-06-08 | 2016-08-24 | 国网上海市电力公司 | Speech processing equipment and processing method for power intelligent auxiliary service system |
| CN205862378U (en) * | 2016-07-07 | 2017-01-04 | 中国大唐集团科学技术研究院有限公司 | Power plant moves cruising inspection system |
| CN109635968A (en) * | 2019-01-21 | 2019-04-16 | 嘉兴恒创电力集团有限公司佳创综合服务分公司 | A kind of troublshooting management method based on intelligent customer service |
| CN109787363A (en) * | 2019-03-20 | 2019-05-21 | 艾美肯（厦门）电力科技有限公司 | A kind of safety utilization of electric power system based on voice module |
| US20190163965A1 (en) * | 2017-11-24 | 2019-05-30 | Genesis Lab, Inc. | Multi-modal emotion recognition device, method, and storage medium using artificial intelligence |
| CN109840690A (en) * | 2018-12-29 | 2019-06-04 | 国网山东省电力公司日照供电公司 | A kind of artificial intelligence electric power first-aid system and method based on big data |
| CN209070688U (en) * | 2018-10-19 | 2019-07-05 | 黄何瑶静 | A kind of safety management system for construction |
| CN110020777A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | A kind of power customer business worksheet system and method |
-
2019
- 2019-07-26 CN CN201910679722.7A patent/CN112306001A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103929551A (en) * | 2013-01-11 | 2014-07-16 | 上海掌门科技有限公司 | Assisting method and system based on call |
| CN203133608U (en) * | 2013-01-15 | 2013-08-14 | 长安大学 | Movable monitor robot system with voice function |
| CN104486516A (en) * | 2014-11-13 | 2015-04-01 | 国网浙江省电力公司电力科学研究院 | Robot voice service method of 95598 large telephone traffic-based IVR (Interactive Voice Response) intelligent system |
| CN105895101A (en) * | 2016-06-08 | 2016-08-24 | 国网上海市电力公司 | Speech processing equipment and processing method for power intelligent auxiliary service system |
| CN205862378U (en) * | 2016-07-07 | 2017-01-04 | 中国大唐集团科学技术研究院有限公司 | Power plant moves cruising inspection system |
| US20190163965A1 (en) * | 2017-11-24 | 2019-05-30 | Genesis Lab, Inc. | Multi-modal emotion recognition device, method, and storage medium using artificial intelligence |
| CN209070688U (en) * | 2018-10-19 | 2019-07-05 | 黄何瑶静 | A kind of safety management system for construction |
| CN109840690A (en) * | 2018-12-29 | 2019-06-04 | 国网山东省电力公司日照供电公司 | A kind of artificial intelligence electric power first-aid system and method based on big data |
| CN109635968A (en) * | 2019-01-21 | 2019-04-16 | 嘉兴恒创电力集团有限公司佳创综合服务分公司 | A kind of troublshooting management method based on intelligent customer service |
| CN110020777A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | A kind of power customer business worksheet system and method |
| CN109787363A (en) * | 2019-03-20 | 2019-05-21 | 艾美肯（厦门）电力科技有限公司 | A kind of safety utilization of electric power system based on voice module |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108319234B (en) | Security management system, method, device, storage medium and information processing cloud platform | |
| US20230156162A1 (en) | Event attendance monitoring using a virtual assistant | |
| CN108833831A (en) | A kind of power construction intelligent safety monitor system | |
| CN112532727B (en) | Safety protection system for personnel in gas area in workshop | |
| CN1117336C (en) | Intelligent human/computer interface system | |
| CN105425970A (en) | Human-machine interaction method and device, and robot | |
| CN109310524A (en) | Hearing protector with the position for actively avoiding sound danger and sound monitoring sensor | |
| CN102231077A (en) | Safety real-time monitoring and early warning system and monitoring and early warning method | |
| US20210283777A1 (en) | Operation management method and device for elevator, elevator system and computer-readable storage medium | |
| CN102099614A (en) | System for safety protection of human beings against hazardous incidents with robots | |
| CN109343395A (en) | A kind of abnormality detection system and method for nuclear power plant DCS operation log | |
| CN112004198B (en) | Visit person monitoring system capable of improving safety level | |
| CN110018646A (en) | A kind of power equipment working specification monitoring system | |
| CN110525456A (en) | A kind of train safe driving monitoring system and method | |
| CN108960547A (en) | Emergency preplan aided management system | |
| CN111080878A (en) | Construction site safety monitoring method and device based on artificial intelligence | |
| JP2009076059A (en) | Management system, managing device and management program | |
| CN211374667U (en) | Safety monitoring system for people entering and leaving grain depot | |
| CN112613619B (en) | Safety operation management system for gas area in workshop | |
| CN115019411A (en) | Routing inspection system and method based on voice interaction | |
| JP2000174929A (en) | Emergency dispatch supporting device | |
| CN108199480A (en) | A kind of electric power dispatching system and its method based on artificial intelligence | |
| CN112306001A (en) | Intelligent system fusion platform and working method thereof | |
| CN112836689A (en) | Dangerous area personnel management and control system and method based on image recognition | |
| CN112333355A (en) | Tunnel inspection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |