Online monitoring and intelligent diagnosis system for environmental sanitation facility equipment

Abstract

The invention relates to the technical field of environmental sanitation facility equipment application, in particular to an environmental sanitation facility equipment on-line monitoring and intelligent diagnosis system which comprises a manual service desk, a cloud platform and a terminal, the manual service desk and the cloud platform are in signal connection with the terminal, and the cloud platform comprises a server, an SOMS, a management and control assembly and a remote control assembly. The terminal comprises a service site and a cleaning instrument. The cloud platform is utilized to realize signal connection between the manual service desk and the terminal, manual management and control are facilitated, environmental sanitation problems caused by direct participation of workers in working operation of the terminal, learning of human behaviors to deal with the environment can be reduced, supervision is enhanced, a sanitation management blind area caused by untimely fault discovery is avoided, and the safety of health management is improved. Unification of AI management and manual management is realized; the three groups of service sites are arranged, and the three groups of service sites are distributed and planned, so that the distribution reasonability of the cleaning instruments is ensured, a cleaning blind area is avoided, and sanitation management is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of application of environmental sanitation facilities and equipment, and particularly to an on-line monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment. Background Art

[0002] The urban domestic waste collection and transportation system includes three parts: collection, transportation, and transfer. Rational configuration and coordinated cooperation in each link can achieve better environmental, social, and economic benefits. Otherwise, it will cause huge resource waste and environmental pollution. The generation of urban domestic waste has the characteristics of very dispersed fixed sources and strong randomness of mobile sources, resulting in a very complex collection and transportation system for urban domestic waste. Improving the urban domestic waste collection and transportation system is regarded as a major issue in urban domestic waste management and is continuously improved and deepened. Sprinkler trucks, high-pressure flushing trucks, washing and sweeping trucks, road sweeping trucks, road maintenance trucks, rear-loading compression trucks, multi-functional bucket trucks, electric bucket trucks, electric cleaning trucks, trash cans, wet waste treatment integrated machines, management vehicles, installed buried barrels, and intelligent environmental sanitation systems, air purifiers, sewage treatment equipment, ozone generators, industrial oxygen generators.

[0003] Since the garbage disposal by residents has a certain degree of randomness and unpredictability, how to detect the height of garbage in the trash can in real time is an issue that should be considered and solved during the collection and transportation of urban domestic garbage. Under the existing conditions, an online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment, such as the one disclosed in the patent with the publication number CN105928556B, is often adopted. It is proposed that when the environmental sanitation facilities and equipment are in use, if a fault occurs and cannot be detected in time, it will affect the normal use of the environmental sanitation facilities and equipment and have an impact on the surrounding environment. In response to this, it is aimed to achieve real-time online monitoring of the operating condition data of environmental sanitation facilities such as waste incineration plants, waste landfills, waste transfer stations and their affiliated equipment; to achieve remote fault diagnosis of the facilities and equipment, establish an expert knowledge base for fault analysis and disposal, and provide auxiliary decision-making suggestions for the maintenance of the facilities and equipment. The purpose of this system is to use Internet of Things technology to achieve online and intelligent management of environmental sanitation facilities and equipment, and reduce the operation and maintenance difficulty and cost of a large number of environmental sanitation facilities and equipment with scattered geographical distribution. It is required that the implementation of this system can be conveniently and seamlessly integrated into the environmental sanitation informatization series system products of Party A. Similarly, a waste comprehensive treatment system in urban environmental sanitation, such as the one disclosed in the patent with the publication number CN105929734A, is proposed. It is proposed that the garbage weighing device is installed at the hook plate that moves synchronously with the trash can on the lifting device. The hook plate needs to move up and down during the working process, so the weighing sensor will also move up and down. A cable connection is required between the weighing sensor and the vehicle-mounted host. Therefore, one end of the cable is fixed on the moving up and down hook plate, and the other end is fixed on the vehicle body. The cable will break due to fatigue caused by reciprocating motion, and is even often crushed by being caught in the moving device, seriously affecting the reliability of the product. Therefore, it is specifically proposed to accurately measure the height of garbage in the trash can. The detection result is sent to the control terminal through the wireless communication module. The control terminal calculates an optimized plan for the urban collection and transportation route based on the garbage height information and the trash can position information in each trash can through search technology. It has the advantages of accurate measurement results, convenient device installation, and low power consumption of the device. It can realize the measurement of the net weight of garbage and the online monitoring and intelligent diagnosis of the equipment. However, the above two technologies ignore the dynamic attributes of environmental sanitation equipment. The position and state of environmental sanitation equipment are constantly changing during the operation process. The existing technologies can only monitor environmental sanitation equipment through fixed-point installed cameras, sensors and other instruments, and cannot achieve full-time and all-round observation, nor can they understand the real working conditions of environmental sanitation equipment. Summary of the Invention

[0004] The purpose of the present invention is to solve the problem that the operation of environmental sanitation equipment in the prior art lacks detection and diagnosis protection functions, and to propose an online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0006] Online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment, including an artificial service desk, a cloud platform and terminals. The artificial service desk, the cloud platform and the terminals are signal-connected. The cloud platform includes a server, SOMS, a control component and a remote control component. The terminals include service stations and cleaning instruments.

[0007] Preferably, the artificial service desk is connected to the cloud platform through the server, and the terminals are connected to the cloud platform through the server.

[0008] Preferably, the control component includes a storage module, a setting module, a calculation module, a modeling module, a monitoring module and a learning module.

[0009] Preferably, the calculation module includes a behavior predetermination section and a function evaluation section;

[0010] The monitoring module includes a behavior monitoring section and a fault monitoring section;

[0011] The learning module includes a behavior memory section and a behavior simulation section.

[0012] Preferably, the remote control component includes an integrated information module, a dynamic positioning module, an energy monitoring module, an anti-loss monitoring module and an OBD.

[0013] Preferably, the service stations include at least ten stations, and a cruising robot is arranged between every two adjacent stations.

[0014] Preferably, the cleaning instruments include at least ten instruments, and one instrument corresponds to one station.

[0015] Preferably, the service stations are divided into three groups, among which two groups of the service stations are circumferentially equidistantly distributed, and the other group of the service stations are radially distributed.

[0016] Preferably, a terminal feedback device is provided on the instrument.

[0017] Preferably, the terminal feedback device includes a QR code, a feedback form and a suggestion feedback section.

[0018] Compared with the prior art, the present invention has the following advantages:

[0019] 1. The present invention uses the cloud platform to realize the signal connection between the artificial service desk and the terminals. While facilitating manual control, it can also reduce the direct participation of labor in the operation of the terminals, thus liberating the labor force and enabling the cleaning instruments to be controlled by AI.

[0020] 2. The present invention sets up a cloud platform composed of a server, SOMS, a control component, and a remote control component to monitor the status of sanitation facilities and equipment in real time, specifically including location analysis, operating status analysis, operation quality analysis, fault analysis, and problem solution analysis, ensuring that problems with sanitation facilities and equipment can receive attention and be resolved in a timely manner as soon as they occur; at the same time, an artificial connection is established to more accurately feedback problems with sanitation facilities and equipment through manual means to provide opinions or suggestions; furthermore, by establishing a learning system, the sanitation facilities and equipment are enabled to have memory and imitation functions, learning human behavior to handle the environment and sanitation problems they face, and minimizing manual intervention as much as possible.

[0021] 3. The present invention intelligently manages cleaning instruments and strengthens supervision at the same time to avoid the existence of sanitation management blind spots caused by untimely detection of failures, and realizes the unity of AI management and manual management.

[0022] 4. The present invention sets up three groups of service stations and conducts distribution planning for the three groups of service stations to ensure the rational distribution of cleaning instruments, avoid the existence of cleaning blind spots, and thus facilitate sanitation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic structural diagram of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0024] Figure 2 is a schematic structural diagram of the control component of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0025] Figure 3 is a schematic structural diagram of the remote control component of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0026] Figure 4 is a schematic structural diagram of the service station of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0027] Figure 5 is a schematic distribution diagram of the service stations of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0028] Figure 6 is a schematic structural diagram of the cleaning instrument of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention;

[0029] Figure 7 is a schematic structural diagram of the terminal feedback instrument of the online monitoring and intelligent diagnosis system for sanitation facilities and equipment proposed by the present invention.

[0030] In the figure:

[0031] 1. Artificial service desk;

[0032] 2. Cloud platform; 201. Server; 202. SOMS;

[0033] 203. Control component; 20301. Storage module; 20302. Setting module;

[0034] 20303. Calculation module; 2030301. Behavior reservation section; 2030302. Function evaluation section;

[0035] 20304. Modeling module;

[0036] 20305. Monitoring module; 2030501. Behavior monitoring section; 2030502. Fault monitoring section;

[0037] 20306. Learning module; 2030601. Behavior memory section; 2030602. Behavior simulation section;

[0038] 204. Remote control component; 20401. Integrated information module; 20402. Dynamic positioning module; 20403. Energy monitoring module; 20404. Anti-loss monitoring module; 20405. OBD;

[0039] 3. Terminal; 301. Service station; 302. Cleaning instrument;

[0040] 303. Terminal feedback device; 30301. QR code; 30302. Feedback form; 30303. Suggestion feedback section. Detailed implementation manners

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0042] Refer to Figures 1-6, An online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment, including an artificial service desk 1, a cloud platform 2 and a terminal 3. The artificial service desk 1, the cloud platform 2 and the terminal 3 are signal-connected. It should be noted that the artificial service desk 1 is connected to the cloud platform 2 through a server 201, and the terminal 3 is connected to the cloud platform 2 through the server 201. Based on an artificial intelligence insurance consulting service artificial intelligence platform system disclosed in the patent publication number CN107967575B, it is mainly embodied as a customer information intelligent acquisition system. This system is used to collect multi-dimensional big data information of customers. Through various means such as questionnaire surveys, web crawling, and government open data, multi-dimensional big data information of users is collected. The user tagging work is completed through relevant algorithms and manual processing, so as to establish a user tag library to provide big data support for other subsystems. The data collected by this system is mainly used in three aspects: policy data, family status data, and taggable data. The policy data will be handed over to the policy custody system for further processing; the family status data will be handed over to the family status evaluation system for analysis; the taggable data will form a big data tag library after being tagged. Through artificial intelligence algorithms, scientific risk management methods are used for risk management to achieve control-type risk management and financial-type risk management suggestions. Control-type risk management mainly considers three levels: avoidance, prepayment, and suppression. Financial-type risk management suggestions include: the configuration of family property risk transfer and the configuration of risk transfer quotas for family members.

[0043] The cloud platform 2 includes a server 201, a SOMS 202, a control component 203 and a remote control component 204. For details, please refer to the attached Figure 2 - attached Figure 4 、attached Figure 6 and attached Figure 7 , The control component 203 includes a storage module 20301, a setting module 20302, a calculation module 20303, a modeling module 20304, a monitoring module 20305 and a learning module 20306.

[0044] Based on a service for programming and managing deployed devices disclosed in the patent publication number CN105934916B, the service programming and / or management system can be configured to provide programming and / or management services for one or more deployed IoT devices. The SOMS 202 can be configured to perform such programming and / or management in a heterogeneous IoT infrastructure. The SOMS 202 can facilitate user configuration of services by extracting the complexity associated with the IoT infrastructure and reducing the technical domain knowledge and expertise required for the technologies used in the devices.

[0045] An agent (such as a service orchestration agent) can be installed on the IoT device and can communicate with the SOMS202. The agent can send data to the SOMS202, and the data can include information such as: telemetry information; service metadata, which can include (but is not limited to) sensor information of the device, task information of the device. The service orchestration agent can also act as a conduit through which data, such as service binaries, service metadata, telemetry, control, and service payload data, can be transmitted between the device and the SOMS202.

[0046] Examples of methods or protocols that can be used to transfer information between the SOMS-100 and the device include secure copy, File Transfer Protocol, Message Queuing Telemetry Transport, and RESTful API methods that use HTTP methods for RESTful services.

[0047] In addition to being responsible for scheduling information, the service orchestration agent on the device can also be configured to receive incoming data and / or instructions from the SOMS and convert the received information into actions for the device.

[0048] The service orchestration agent can send system logs, application logs, network status information, etc. to the SOMS202. In various embodiments, for example, on a device with a Linux OS, the service orchestration agent can also use Linux methods or commands to obtain or deduce information. The service orchestration agent can be installed on different types of devices with different operating systems and use appropriate methods on a specific device to obtain information for sending to the SOMS202.

[0049] The SOMS202 can also be configured to obtain other information from the device, such as service metadata, which can include (but is not limited to) sensor information of the device, task information of the device. The SOMS202 can incorporate or have access to a storage device (such as a persistent storage device) to store the obtained data. The information obtained from the device can be obtained directly from the device, such as data pushed by the device or data sent in response to a request. In other embodiments, the information can be stored by the device on a persistent storage device and then later obtained by the SOMS202 from the persistent storage device. Then the SOMS202 can encapsulate and store the obtained information, such as using service orchestration language objects, for later use. The SOMS202 can also be configured to store service information in a metadata repository where multiple versions and configurations of the service can be stored and retrieved. The SOMS202 can also be configured to obtain data from other sources, such as data generated from user interactions with the system.

[0050] Further explanation:

[0051] First, the calculation module 20303 includes a behavior reservation section 2030301 and a function evaluation section 2030302;

[0052] Second, the monitoring module 20305 includes a behavior monitoring section 2030501 and a fault monitoring section 2030502;

[0053] Third, the learning module 20306 includes a behavior memory section 2030601 and a behavior simulation section 2030602.

[0054] The remote control component 204 includes an integrated information module 20401, a dynamic positioning module 20402, an energy monitoring module 20403, a loss prevention monitoring module 20404, and an OBD 20405.

[0055] Monitor the operating conditions of the engine and the working status of the exhaust after-treatment system at any time. Once a situation that may cause excessive emissions is detected, a warning will be issued immediately. When a fault occurs in the system, the fault light or the check engine warning light will be on. At the same time, the OBD 20405 system will store the fault information in the memory, and relevant information can be read in the form of fault codes through a standard diagnostic instrument and a diagnostic interface. According to the prompt of the fault code, the maintenance personnel can quickly and accurately determine the nature and location of the fault. The OBD 20405 is connected to the electronic control unit through various component information related to emissions. The ECU has the function of detecting and analyzing emissions-related faults. When an emissions fault occurs, the ECU records the fault information and relevant codes, and issues a warning through the fault light to inform the driver. The ECU ensures the access and processing of fault information through a standard data interface.

[0056] Based on an OBD device disclosed in the utility model patent with the publication number CN204845799U, which includes a central processor, an OBD module, a 4G communication module, a 4G antenna, a SIM card, a GPS module, and a GLONASS module; the OBD module and the 4G communication module are respectively electrically connected to the central processor; the 4G antenna, the SIM card, the GPS module, and the GLONASS module are respectively electrically connected to the 4G communication module. The OBD device provided by the present utility model is convenient to operate and use, can obtain data in a timely manner, and can perform fault diagnosis in real time.

[0057] The terminal 3 includes a service station 301 and a cleaning instrument 302.

[0058] Specifically, refer to the attached Figure 4 - attached Figure 6 , the service station 301 includes at least ten stations, and a cruise robot is arranged between every two adjacent stations. The cleaning instrument 302 includes at least ten instruments, and one instrument corresponds to one station. The stations in the service station 301 are evenly distributed.

[0059] The service stations 301 are divided into three groups. Two of the groups of service stations 301 are circumferentially equidistributed, and the other group of service stations 301 is radially distributed. The two groups of service stations 301 are concentrically arranged, and the other group of service stations 301 is distributed at the position between the two groups of service stations 301 to avoid blind spots during the operation of the sanitation equipment.

[0060] The instrument is equipped with a terminal feedback device 303. For details, please refer to the appendix of the instruction manual. Figure 7 The terminal feedback device 303 includes a QR code 30301, a feedback form 30302, and a suggestion feedback section 30303. It should be noted that by setting the QR code 30301, the operator can scan the QR code 30301 to connect to the server 201. After the operator uploads opinions and suggestions about the sanitation instrument 302, the artificial service desk 1 can obtain this information, and then the server 201 can set and modify the terminal 3.

[0061] It should be noted that the specific model specifications of the server 201, SOMS 202, and sanitation instrument 302 need to be selected according to the actual specifications of the device. The specific selection calculation method uses the existing technology in the field, so it will not be elaborated here.

[0062] The functional principle of the present invention can be described through the following operation methods:

[0063] Under normal circumstances, the AI sends instructions to the terminal 3 through the server 201, so that each instrument in the sanitation instrument 302 cleans the sanitation between adjacent two stations according to a predetermined route.

[0064] During this process, the behavior of the sanitation instrument 302 is monitored by the behavior monitoring section 2030501 in the monitoring module 20305, and the function of the sanitation instrument 302 is monitored by the fault monitoring section 2030502 at the same time.

[0065] During the operation of the sanitation instrument 302, the behavior memory section 2030601 in the learning module 20306 continuously memorizes the human cleaning behavior, and the behavior simulation section 2030602 imitates the human behavior.

[0066] When humans find that the sanitation instrument 302 has a fault, they can fill in the feedback form 30302 by scanning the QR code 30301 in the terminal feedback device 303 or put forward opinions or suggestions through the suggestion feedback section 30303. After the artificial service desk 1 obtains the information, it arranges for artificial services through the server 201.

[0067] As described above, it is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. An online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment, comprising an artificial service desk (1), a cloud platform (2) and a terminal (3), characterized in that, The manual service desk (1), cloud platform (2) and terminal (3) are signal-connected. The cloud platform (2) includes a server (201), SOMS (202), a control component (203) and a remote control component (204). The terminal (3) includes service stations (301) and sanitation instruments (302).

2. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 1, characterized in that The manual service desk (1) is connected to the cloud platform (2) through the server (201), and the terminal (3) is connected to the cloud platform (2) through the server (201).

3. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 1, characterized in that, The control component (203) includes a storage module (20301), a setting module (20302), a calculation module (20303), a modeling module (20304), a monitoring module (20305) and a learning module (20306).

4. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 3, characterized in that The calculation module (20303) includes a behavior predetermination section (2030301) and a function evaluation section (2030302); The monitoring module (20305) includes a behavior monitoring section (2030501) and a fault monitoring section (2030502); The learning module (20306) includes a behavior memory section (2030601) and a behavior simulation section (2030602).

5. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 1, characterized in that The remote control component (204) includes an integrated information module (20401), a dynamic positioning module (20402), an energy monitoring module (20403), an anti-loss monitoring module (20404) and an OBD (20405).

6. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 1, characterized in that The service stations (301) include at least ten stations, and a cruise robot is arranged between every two adjacent stations.

7. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 6, characterized in that, The sanitation instruments (302) include at least ten instruments, and one instrument corresponds to one station.

8. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 7, characterized in that The service stations (301) are divided into three groups, where two groups of the service stations (301) are circumferentially equidistributed, and the other group of the service stations (301) are radially distributed.

9. The online monitoring and intelligent diagnosis system for environmental sanitation facility equipment according to claim 8, characterized in that, A terminal feedback device (303) is provided on the instrument in a supporting manner.

10. The online monitoring and intelligent diagnosis system for environmental sanitation facilities and equipment according to claim 1, characterized in that The terminal feedback device (303) includes a two-dimensional code (30301), a feedback form (30302) and a suggestion feedback section (30303).

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